{"meta":{"sha":"ec243582f7f4c5e173fdc2c24b61784cec5b9354"},"files":[{"path":".devcontainer/devcontainer.json","mode":"100644","sha":"954198b55e2d97654d49b61f12f5b8dac2a6456b","size":914},{"path":".devcontainer/postCreateCommand.sh","mode":"100755","sha":"287fae92bb868fce9cda75af94676c9567a7dc2a","size":190},{"path":".github/CODEOWNERS","mode":"100644","sha":"03556e6a22602d820ac62886c77d3f3de6d38de1","size":235},{"path":".github/workflows/ci.yml","mode":"100644","sha":"c4f2ea2d31d8a14e0ef4d3258918af607836c690","size":6340},{"path":".github/workflows/cla.yml","mode":"100644","sha":"c0e1544d43d73c7e4ab6c4873ab1c3a765f2107d","size":1930},{"path":".github/workflows/editor.yml","mode":"100644","sha":"bd18a1de4e1616f5c13e09f2c3e576e62457fc37","size":807},{"path":".github/workflows/python-publish.yml","mode":"100644","sha":"41a77662c20851b19aec9a587641a95aac998a84","size":1258},{"path":".github/workflows/visualize.yml","mode":"100644","sha":"a8d4633657b071ae902f7892071faab15471c220","size":1508},{"path":".gitignore","mode":"100644","sha":"3b843135a0b06b29623adbd388e2a4c569edae67","size":1985},{"path":".vscode/settings.json","mode":"100644","sha":"127a195877c6c85572e6d91e6dfcad62375b8af3","size":1479},{"path":"CONTRIBUTING.md","mode":"100644","sha":"7e950511ef93886e31f14a665bac23a08949781d","size":895},{"path":"LICENSE.md","mode":"100644","sha":"f433b1a53f5b830a205fd2df78e2b34974656c7b","size":10174},{"path":"README.md","mode":"100644","sha":"87cd56e99c5b75fc933b652d715576081281c4f4","size":12651},{"path":"_config.yml","mode":"100644","sha":"ed4a19c01452b89ce7faf2aa7cd2e7c405b5d4b2","size":34},{"path":"croissant-rdf/Dockerfile","mode":"100644","sha":"73a217297921e0d52bb2438f655c299c23c30609","size":258},{"path":"croissant-rdf/LICENSE","mode":"100644","sha":"930c3962ec743232c285c41272638ee8aae5f717","size":1072},{"path":"croissant-rdf/README.md","mode":"100644","sha":"edf3d6ff58b2b2e2c33d666465ce1b12f1242216","size":6931},{"path":"croissant-rdf/notebooks/Dockerfile","mode":"100644","sha":"ba84245c5d05c593f95bf17fa6b4e1044441d51e","size":353},{"path":"croissant-rdf/notebooks/huggingface_croissant_rdf_sparql.ipynb","mode":"100644","sha":"8549c27e28bed3bed7fcfa2563ae3cd53e3c519e","size":3792},{"path":"croissant-rdf/notebooks/networkx_visualize_kg_adjacency.ipynb","mode":"100644","sha":"fe138dc07a7c1128ba99c3b5d892f23e298236e0","size":459726},{"path":"croissant-rdf/notebooks/query_rdf_graph_gradio_sparql.ipynb","mode":"100644","sha":"134a6cbba69b88b9a3ba5d85a46f17863e37846a","size":110053},{"path":"croissant-rdf/pyproject.toml","mode":"100644","sha":"8bcc6c571d14167de315a6de1b964022b42c747e","size":2999},{"path":"croissant-rdf/qlever_scripts/Qleverfile","mode":"100644","sha":"97d8e0eab07f66e400083e9b201d43a3e1af4be8","size":1243},{"path":"croissant-rdf/qlever_scripts/run.sh","mode":"100644","sha":"a0f9a17708ef5a7f13fdf6435915701213e62ccf","size":356},{"path":"croissant-rdf/src/croissant_rdf/__init__.py","mode":"100644","sha":"f00f372692297eb352565334e1d6613a05ac038a","size":404},{"path":"croissant-rdf/src/croissant_rdf/_src/croissant_harvester.py","mode":"100644","sha":"1cbb9db335b421db18e5bbff9c8d0ef4d9a3fdd5","size":10948},{"path":"croissant-rdf/src/croissant_rdf/_src/providers/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"croissant-rdf/src/croissant_rdf/_src/providers/dataverse.py","mode":"100644","sha":"d4b992e246f20a93372828c797091cbc6fca3e37","size":1309},{"path":"croissant-rdf/src/croissant_rdf/_src/providers/huggingface.py","mode":"100644","sha":"b746b478d2c9cf7974e829b547def5eb1deb31e1","size":1356},{"path":"croissant-rdf/src/croissant_rdf/_src/providers/kaggle.py","mode":"100644","sha":"77bea11855fe774b59bb3c1fe0b6eea88e3540cd","size":1073},{"path":"croissant-rdf/src/croissant_rdf/_src/providers/openml.py","mode":"100644","sha":"3ba807babdd9b82113f22ef218bb77cf2fd07081","size":1232},{"path":"croissant-rdf/src/croissant_rdf/_src/utils.py","mode":"100644","sha":"2bcc97be4dd8d5308e18da1ed9d3ab815bdeee40","size":536},{"path":"croissant-rdf/test_data/croissant_metadata.ttl","mode":"100644","sha":"1e27936342058e69ad35c07a42d396c9a94cb456","size":482559},{"path":"croissant-rdf/test_data/huggingface-10.ttl","mode":"100644","sha":"9642d3015af97b02fae70ec9b2400accdf99a144","size":54822},{"path":"croissant-rdf/test_data/huggingface.ttl","mode":"100644","sha":"48efb6425dcde1a0afd466e15ce4f7bdba32f14d","size":50097},{"path":"croissant-rdf/tests/kaggle_croissant.json","mode":"100644","sha":"685ab4108fe446bf24deeb26c7b3520eb1737b2b","size":14047},{"path":"croissant-rdf/tests/test_fetch_dataverse.py","mode":"100644","sha":"9395b8f70048dc0729f9f33b7929afdc7101dd05","size":496},{"path":"croissant-rdf/tests/test_fetch_huggingface.py","mode":"100644","sha":"1d18e309253741fc6cd291ca7032852c53f7add9","size":2804},{"path":"croissant-rdf/tests/test_fetch_kaggle.py","mode":"100644","sha":"b7284e13a866404617a9b9bfbced09eee6aef6ef","size":2034},{"path":"croissant-rdf/tests/test_fetch_openml.py","mode":"100644","sha":"82bd4551ea9a813227ecee18a6172f7f82038d3e","size":438},{"path":"croissant-rdf/tests/test_generate_rdf.py","mode":"100644","sha":"373dc5dcfc4138972466450f81212a32cb218dc8","size":2175},{"path":"croissant-rdf/uv.lock","mode":"100644","sha":"97d27ee9a31e8c2a9e51410f0a28dbefe5997143","size":454288},{"path":"croissant-rdf/workflows/huggingface-rdf.cwl","mode":"100644","sha":"b098a696730662df24f458cc2ac29f633f840c23","size":415},{"path":"datasets/0.8/audio_test/data/Clap.mp3","mode":"100644","sha":"d4e90035cec92381ae1c9508ed684159a8af49f5","size":18318},{"path":"datasets/0.8/audio_test/data/Snap.mp3","mode":"100644","sha":"646ccc96f2d59976c942a4695949c8c30a90f3ab","size":23790},{"path":"datasets/0.8/audio_test/index.html","mode":"100644","sha":"ae3e25e828a4518530ad92760671c398c1e1abab","size":3962},{"path":"datasets/0.8/audio_test/metadata.json","mode":"100644","sha":"4ffb48c3dc3d7b02687c07a6342790ddcea26076","size":1891},{"path":"datasets/0.8/audio_test/output/records.jsonl","mode":"100644","sha":"95a1ce98f0fd2ba2a096d55d18413e5c35c0b4ce","size":341},{"path":"datasets/0.8/bigcode-the-stack/index.html","mode":"100644","sha":"789e22ffda81b315cf3450cb26108e2087893e50","size":13957},{"path":"datasets/0.8/bigcode-the-stack/metadata.json","mode":"100644","sha":"23a62bac946b2212eb2afb69442c0d5a45d812af","size":12391},{"path":"datasets/0.8/fashion-mnist/index.html","mode":"100644","sha":"c62631cb450d7af6115f770a637f0a3d78f67a8b","size":5522},{"path":"datasets/0.8/fashion-mnist/metadata.json","mode":"100644","sha":"0d4f70e5a8d768d86ab81a2974ed7ed93bb2687a","size":3952},{"path":"datasets/0.8/flores-200/index.html","mode":"100644","sha":"5973a58d97c90684535d702c2f3d7fc57819f34a","size":20029},{"path":"datasets/0.8/flores-200/metadata.json","mode":"100644","sha":"4117474d0acb7e9682907177041f070e2f240077","size":12085},{"path":"datasets/0.8/flores-200/output/language_translations_test_data_with_metadata.jsonl","mode":"100644","sha":"fd9c9b58cae2d9221d3e0e479eb141aac6dccfd7","size":5626},{"path":"datasets/0.8/flores-200/output/language_translations_train_data_with_metadata.jsonl","mode":"100644","sha":"2ae90f47a459b21aeea36455d5881bece44c8ce8","size":10946},{"path":"datasets/0.8/gpt-3/index.html","mode":"100644","sha":"36bf36e20975c07b4068efe6589906a8eaef8ffb","size":7816},{"path":"datasets/0.8/gpt-3/metadata.json","mode":"100644","sha":"cced1571f40a140b77a59a2edb2fd7c961b3522a","size":5421},{"path":"datasets/0.8/gpt-3/output/default.jsonl","mode":"100644","sha":"37cfd7acaa37853fe3ae990fa0ff5a28d5843506","size":1087},{"path":"datasets/0.8/huggingface-mnist/index.html","mode":"100644","sha":"dacbb9383f21af730f2b0451811eb85c6c2d3be8","size":5651},{"path":"datasets/0.8/huggingface-mnist/metadata.json","mode":"100644","sha":"95a02d5d9c162bdffa5f821ca53c3ce30c6ff7af","size":3281},{"path":"datasets/0.8/huggingface-mnist/output/default.jsonl","mode":"100644","sha":"ef5bbf7b1d794d09f886b2163d4808dd6173575a","size":1030},{"path":"datasets/0.8/movielens/index.html","mode":"100644","sha":"887148b774e2f7799b9ee7ec031b81de77ccbfa3","size":10701},{"path":"datasets/0.8/movielens/metadata.json","mode":"100644","sha":"4a318303bbb3dbb6001d374304bcc57a424e3402","size":9269},{"path":"datasets/0.8/pass-mini/data/PASS.0.tar","mode":"100644","sha":"a169d573fba001213fe2ed27bde86c2a72f5d282","size":10240},{"path":"datasets/0.8/pass-mini/data/PASS.1.tar","mode":"100644","sha":"42759261ea0aa893c8ad64a146a28e82ba92b419","size":10240},{"path":"datasets/0.8/pass-mini/data/pass_metadata.csv","mode":"100644","sha":"76f511b660d0358ab61619b2fb54068506eee9a1","size":1052},{"path":"datasets/0.8/pass-mini/index.html","mode":"100644","sha":"d8f7160fef3e731ab564f01eb497e23803bb0dc3","size":9531},{"path":"datasets/0.8/pass-mini/metadata.json","mode":"100755","sha":"057ced2cd0d31a43f470c9f0b11d63220ccbd15c","size":4663},{"path":"datasets/0.8/pass-mini/output/images.jsonl","mode":"100644","sha":"dcf704f20ac60505793a42d9bed28cb0c691f1fc","size":2050},{"path":"datasets/0.8/pass/index.html","mode":"100644","sha":"a2f96fe7febba11ea2697b132dc4d8af8799f09f","size":8875},{"path":"datasets/0.8/pass/metadata.json","mode":"100755","sha":"062a11167aeb73c093c19ec1b654b0da456e9b2f","size":7311},{"path":"datasets/0.8/recipes/compressed_archive.json","mode":"100644","sha":"47e7b6decc082d8a0a173eb1834bd580d250a614","size":2315},{"path":"datasets/0.8/recipes/data/books.csv","mode":"100644","sha":"a0edce56e180241ed0e1a3703326844024cee765","size":374},{"path":"datasets/0.8/recipes/data/compressed_archive.zip","mode":"100644","sha":"62d94bb66ac81ef5a9752bd807cc18a403bc089b","size":251302},{"path":"datasets/0.8/recipes/data/enum.csv","mode":"100644","sha":"9c5a09576b47865d7b40719f7ceaa210b2f253a9","size":96},{"path":"datasets/0.8/recipes/data/enum_directions.csv","mode":"100644","sha":"19d3405a413492d03fbf0a07fd4d5ece96558e43","size":40},{"path":"datasets/0.8/recipes/data/file1.txt","mode":"100644","sha":"257cc5642cb1a054f08cc83f2d943e56fd3ebe99","size":4},{"path":"datasets/0.8/recipes/data/file2.txt","mode":"100644","sha":"5716ca5987cbf97d6bb54920bea6adde242d87e6","size":4},{"path":"datasets/0.8/recipes/data/minimal.csv","mode":"100644","sha":"c97f35ca13f05c6e50c711106810d35dc6cfed97","size":40},{"path":"datasets/0.8/recipes/data/read_binary_file_by_line/file1.txt","mode":"100644","sha":"85120923c9636699e59dfe62fe153eb8efdda11e","size":21},{"path":"datasets/0.8/recipes/data/read_binary_file_by_line/file2.txt","mode":"100644","sha":"b50fa16ca0c3dda95cfb621e2f113085c54a660b","size":24},{"path":"datasets/0.8/recipes/data/read_binary_file_by_line/files.zip","mode":"100644","sha":"a5a834d467a47317496a294b97bff815b0671d6c","size":571},{"path":"datasets/0.8/recipes/data/read_from_tar.tar.gz","mode":"100644","sha":"07c8b716d7209eb1c11e1199ea5eb41b3326c3ef","size":1062},{"path":"datasets/0.8/recipes/data/zip_with_csv.zip","mode":"100644","sha":"144d94a364dfd6273075624c296300cf1a0421f5","size":569},{"path":"datasets/0.8/recipes/enum.json","mode":"100644","sha":"e4ac6dfc25252306cf2d9393a9c3c7825507d460","size":3684},{"path":"datasets/0.8/recipes/file_object_in_zip.json","mode":"100644","sha":"cbac32f94843b2dcb59f3f3649266d97105bca9f","size":2758},{"path":"datasets/0.8/recipes/minimal.json","mode":"100644","sha":"988e64ec1fef054846d69057d763aa4c2c22654d","size":1270},{"path":"datasets/0.8/recipes/minimal_recommended.json","mode":"100644","sha":"99bcff590c1b4b55079df3deec04f0a128a1cd76","size":2494},{"path":"datasets/0.8/recipes/output/csv.jsonl","mode":"100644","sha":"c13ae34b8843fc291f82a1abd5d70aac247ac0cc","size":44},{"path":"datasets/0.8/recipes/output/csv1.jsonl","mode":"100644","sha":"c13ae34b8843fc291f82a1abd5d70aac247ac0cc","size":44},{"path":"datasets/0.8/recipes/output/csv2.jsonl","mode":"100644","sha":"c365eb5e7b1c9f96be6ba1736c47eff049014a29","size":44},{"path":"datasets/0.8/recipes/output/hello.jsonl","mode":"100644","sha":"2b5e7ca65326d743d9dd4f2e355cf8e38f529378","size":159},{"path":"datasets/0.8/recipes/output/images_with_annotations.jsonl","mode":"100644","sha":"14151bf6d6d8409bdfde32e66f70d74cbdf8465c","size":1768},{"path":"datasets/0.8/recipes/output/read_from_directory_example.jsonl","mode":"100644","sha":"832d4ee93771f73ca0d85d43e6909d57b06d74f5","size":32},{"path":"datasets/0.8/recipes/output/translations_from_directory.jsonl","mode":"100644","sha":"8444ef0420349a74fdbc39c617de3845857bba59","size":411},{"path":"datasets/0.8/recipes/output/translations_from_zip.jsonl","mode":"100644","sha":"8444ef0420349a74fdbc39c617de3845857bba59","size":411},{"path":"datasets/0.8/recipes/read_binary_file_by_line.json","mode":"100644","sha":"dabb7164f41a2f0fb23b8ccc6a6a017bcbaef499","size":4690},{"path":"datasets/0.8/recipes/read_from_directory.json","mode":"100644","sha":"930cabb9a56b4b4ec5965f6321b50d16b9b0d395","size":1867},{"path":"datasets/0.8/recipes/read_from_tar.json","mode":"100644","sha":"3e81705cef9728a60fe4204116717aea2fd7f027","size":4800},{"path":"datasets/0.8/recipes/simple-split.json","mode":"100644","sha":"ffc589cff19e412df7b2dc5378f451d8f8e085fc","size":2719},{"path":"datasets/0.8/simple-join/data/publications.csv","mode":"100644","sha":"4758546276f37363f46d2654db597149ac0e0189","size":251},{"path":"datasets/0.8/simple-join/index.html","mode":"100644","sha":"46280db277554ff232d793eaa26aad3e7060088b","size":6417},{"path":"datasets/0.8/simple-join/metadata.json","mode":"100644","sha":"754ca656d770df3dca3f6e35e1a3ddc96b1faaf5","size":3555},{"path":"datasets/0.8/simple-join/output/publications_by_user.jsonl","mode":"100644","sha":"08c216e4c320ea8e8e4588087166678a097ad91c","size":434},{"path":"datasets/0.8/simple-join/output/users.jsonl","mode":"100644","sha":"dd7bfee5ccc554ce70aa1ad18b29ebf9bbce19c7","size":238},{"path":"datasets/0.8/simple-parquet/data/dataframe.parquet","mode":"100644","sha":"ac7312716c13d0070a045f4eec19c8fa66f8aa0d","size":2315},{"path":"datasets/0.8/simple-parquet/index.html","mode":"100644","sha":"b484f713278e23ae56f0f2803d969912c7a654e2","size":4134},{"path":"datasets/0.8/simple-parquet/metadata.json","mode":"100644","sha":"4de3b5050477af7f59f2bf1e730b4a9fe8ec2d34","size":2257},{"path":"datasets/0.8/simple-parquet/output/persons.jsonl","mode":"100644","sha":"db5a148cbabe152c0a60876514a02090e2719188","size":300},{"path":"datasets/0.8/titanic/data/embarkation_ports.csv","mode":"100644","sha":"a4e9ad2da031bf80afb7733816c2b1dec233ca4b","size":109},{"path":"datasets/0.8/titanic/data/genders.csv","mode":"100644","sha":"45632dc881fa266c4fead1ed6d4198c23983f821","size":100},{"path":"datasets/0.8/titanic/data/titanic.csv","mode":"100644","sha":"7b9ff11973f07038aee74b66bbbc2aac4775a364","size":117743},{"path":"datasets/0.8/titanic/index.html","mode":"100644","sha":"a0ca534f6a90934a237a27fd24d70e817f38cfc9","size":16010},{"path":"datasets/0.8/titanic/metadata.json","mode":"100644","sha":"56ae22998c6052589a1c4171835333e52a966eb8","size":11003},{"path":"datasets/0.8/titanic/output/embarkation_ports.jsonl","mode":"100644","sha":"7fc2347533c74a97760f30f37315335a26dc84e0","size":227},{"path":"datasets/0.8/titanic/output/genders.jsonl","mode":"100644","sha":"f76da28d1077756757b151d73d6527256011ff99","size":136},{"path":"datasets/0.8/titanic/output/passengers.jsonl","mode":"100644","sha":"ff361e59c7fd21e8c5e807c7afdc3ce39dc72738","size":372452},{"path":"datasets/0.8/wiki-text/data/splits.csv","mode":"100644","sha":"a2105251867a6304295209b8a2bf8662c713d00d","size":170},{"path":"datasets/0.8/wiki-text/index.html","mode":"100644","sha":"8d9300f29e541b41e463e5eef177a70e859c8eec","size":6921},{"path":"datasets/0.8/wiki-text/metadata.json","mode":"100644","sha":"49b542cf442dd8da4fa864fdeba006c74335eca8","size":5109},{"path":"datasets/0.8/world-happiness/index.html","mode":"100644","sha":"daf183b5b666ce7d4280ca0cf416d7d6536bedf9","size":24870},{"path":"datasets/0.8/world-happiness/metadata.json","mode":"100644","sha":"3bf4ab1a9f07bcd589a16485aaa29326aecd72ba","size":23438},{"path":"datasets/0.8/world-happiness/output/2015.csv_records.jsonl","mode":"100644","sha":"7c339c2300ef13bb1ee974f93c485a0aa0774641","size":53988},{"path":"datasets/1.0/audio_test/data/Clap.mp3","mode":"100644","sha":"d4e90035cec92381ae1c9508ed684159a8af49f5","size":18318},{"path":"datasets/1.0/audio_test/data/Snap.mp3","mode":"100644","sha":"646ccc96f2d59976c942a4695949c8c30a90f3ab","size":23790},{"path":"datasets/1.0/audio_test/index.html","mode":"100644","sha":"189cdd0cf967d518630fc9699430fdf1f1d791fb","size":4233},{"path":"datasets/1.0/audio_test/metadata.json","mode":"100644","sha":"3f789468a43ff5c906cb2d688e74d11e23b440bc","size":2162},{"path":"datasets/1.0/audio_test/output/records.jsonl","mode":"100644","sha":"f5df6bcd414d218b22f8a1fedbc7cf4c6c04c0cc","size":357},{"path":"datasets/1.0/bigcode-the-stack/index.html","mode":"100644","sha":"3ac753d3f8197b60cfe132eeb0323044a7f299c2","size":38501},{"path":"datasets/1.0/bigcode-the-stack/metadata.json","mode":"100644","sha":"19fe1b59430a4ff2027691a8415b1244e1a79d1c","size":19930},{"path":"datasets/1.0/bigcode-the-stack/output/default.jsonl","mode":"100644","sha":"7ff18279ae4fbaed58a87eddaacbe5168faf75b5","size":40027},{"path":"datasets/1.0/coco2014-mini/data/captions_train2014.json","mode":"100644","sha":"9953cfe06c6698c53a659d90929943de9cbcc5b2","size":4794},{"path":"datasets/1.0/coco2014-mini/data/instances_train2014.json","mode":"100644","sha":"6a9bd0d765169a2195f5a7cc047c43d55e992089","size":15916},{"path":"datasets/1.0/coco2014-mini/data/train2014.zip","mode":"100644","sha":"d0540980a25fa9e83ad43d7ba69d559ade4bb3c6","size":1876},{"path":"datasets/1.0/coco2014-mini/index.html","mode":"100644","sha":"e37ae454ff49e7671abc7270b26908365b7ebf76","size":14277},{"path":"datasets/1.0/coco2014-mini/metadata.json","mode":"100644","sha":"06bce94f043ff6c236f79528e64126bea5b2d6fa","size":9550},{"path":"datasets/1.0/coco2014-mini/output/bounding_boxes.jsonl","mode":"100644","sha":"d8e5737734124b7a2e1c1eaad846506fe8bc2118","size":588},{"path":"datasets/1.0/coco2014-mini/output/captions.jsonl","mode":"100644","sha":"263efabd393593e18eb001a494cef50c1ec81c21","size":609},{"path":"datasets/1.0/coco2014-mini/output/images.jsonl","mode":"100644","sha":"47f1fb3d12be340a03109b57e9bc61a047a27aaf","size":386},{"path":"datasets/1.0/coco2014-mini/output/split_enums.jsonl","mode":"100644","sha":"a9c9757ec4d34ab5e09a7b763b85098dc88bf967","size":298},{"path":"datasets/1.0/coco2014/data/splits.csv","mode":"100644","sha":"63e02d9bb3cb17dad012f1a324bbe10b0229d16e","size":169},{"path":"datasets/1.0/coco2014/index.html","mode":"100644","sha":"ac259b2ae15c706ff33d4f853a8f217c1345861e","size":16885},{"path":"datasets/1.0/coco2014/metadata.json","mode":"100644","sha":"dd714515b352e5d5497b033723ca49f5db4b7fb9","size":14649},{"path":"datasets/1.0/credit-g/index.html","mode":"100644","sha":"49fd52494543b8c9e35edb82efa70a92a775dca4","size":27577},{"path":"datasets/1.0/credit-g/metadata.json","mode":"100644","sha":"627feb1f6dd5def1197a5d454abfa3f4bcf766aa","size":26145},{"path":"datasets/1.0/credit-g/output/data-file-description.jsonl","mode":"100644","sha":"9b2c20494bb5c2f06800e3836f86a3d30425fd78","size":1566},{"path":"datasets/1.0/dices-350/index.html","mode":"100644","sha":"097fbf975541a034802ed5e5a13ea596fc0b1d53","size":10275},{"path":"datasets/1.0/dices-350/metadata.json","mode":"100644","sha":"a44be73ba8fdcadd696f5ca5bd9607a5fbc00847","size":8721},{"path":"datasets/1.0/fashion-mnist/index.html","mode":"100644","sha":"ef7198365f225e68a57365c4da4ad5e02d6a3c43","size":5889},{"path":"datasets/1.0/fashion-mnist/metadata.json","mode":"100644","sha":"9587bcc06e1664f7706bfe99ab756108c7308024","size":4320},{"path":"datasets/1.0/flores-200/index.html","mode":"100644","sha":"bd73618d30de8bde224a7c55213e67ec6dc1c9fe","size":24071},{"path":"datasets/1.0/flores-200/metadata.json","mode":"100644","sha":"3b581e6489869df3998f573a4c50fd2c50c5948b","size":16127},{"path":"datasets/1.0/flores-200/output/language_translations_test_data_with_metadata.jsonl","mode":"100644","sha":"4a2f875619f396f77a3b55eebf4e960a1fc3cabc","size":9306},{"path":"datasets/1.0/flores-200/output/language_translations_train_data_with_metadata.jsonl","mode":"100644","sha":"a76f2ef050f97f099bd70288e7b251ba6626edf0","size":14706},{"path":"datasets/1.0/gpt-3/index.html","mode":"100644","sha":"8d277afd650cee92086fb889b74e926e4ddb5326","size":8337},{"path":"datasets/1.0/gpt-3/metadata.json","mode":"100644","sha":"89b4f0211d28a9d25227cc803eef9f10a5eaea05","size":5942},{"path":"datasets/1.0/gpt-3/output/default.jsonl","mode":"100644","sha":"d6f263f1922fed4e5ee7f19373b2b6f9e127a867","size":1327},{"path":"datasets/1.0/huggingface-anthropic-hh-rlhf/index.html","mode":"100644","sha":"40f39c53b6ae7d2ea778fbb0dc7c9c249848f211","size":25162},{"path":"datasets/1.0/huggingface-anthropic-hh-rlhf/metadata.json","mode":"100644","sha":"c8df22b942b9860d53e62664eb43011af223cc81","size":23114},{"path":"datasets/1.0/huggingface-anthropic-hh-rlhf/output/harmless-base.jsonl","mode":"100644","sha":"9ae8cf4e4a797b697e27c60a2bdb1819a80e3c3e","size":3912},{"path":"datasets/1.0/huggingface-anthropic-hh-rlhf/output/red-team-attempts.jsonl","mode":"100644","sha":"b7783965b3472875bafe8f2844555270e5afaf00","size":23279},{"path":"datasets/1.0/huggingface-c4/index.html","mode":"100644","sha":"c8aa0a9c38ac7bcafcd00129528ec775a059eb46","size":7342},{"path":"datasets/1.0/huggingface-c4/metadata.json","mode":"100644","sha":"f59614e1fc9824115b1547ce6a7b9ed761a11544","size":4680},{"path":"datasets/1.0/huggingface-c4/output/data.jsonl","mode":"100644","sha":"fafea747189c167cb3e0ee4376d369eb996d1524","size":908},{"path":"datasets/1.0/huggingface-levanti/index.html","mode":"100644","sha":"7a770e3ecc5d16f19a502a12434ea2d08c35be1e","size":10109},{"path":"datasets/1.0/huggingface-levanti/metadata.json","mode":"100644","sha":"eee13d4b699158a2e15471c776656dfaaba28cfd","size":6866},{"path":"datasets/1.0/huggingface-levanti/output/levanti_train.jsonl","mode":"100644","sha":"6dcef56453be3780da90b552df4488c099f8aaa5","size":5623},{"path":"datasets/1.0/huggingface-lmms-eval-lite/index.html","mode":"100644","sha":"54c4f7945b5adb42cb5f828f4d796239a376ff90","size":34330},{"path":"datasets/1.0/huggingface-lmms-eval-lite/metadata.json","mode":"100644","sha":"db61f549802f4c4d0f71bae8cfdb2395d0739307","size":28924},{"path":"datasets/1.0/huggingface-lmms-eval-lite/output/gqa.jsonl","mode":"100644","sha":"618d94faeee2e76b41417eb20600293c1ffa4174","size":3941},{"path":"datasets/1.0/huggingface-mnist/index.html","mode":"100644","sha":"8826f9011ef31694ac2c1afa22fd7505e34e0f7e","size":7514},{"path":"datasets/1.0/huggingface-mnist/metadata.json","mode":"100644","sha":"1850e5ca74d41767f99e26a3a2a3d8e9cdcda98a","size":5025},{"path":"datasets/1.0/huggingface-mnist/output/default.jsonl","mode":"100644","sha":"0d7ba07c16609b5483ee4d4755ffeb5dafbd1599","size":1440},{"path":"datasets/1.0/huggingface-open-hermes/index.html","mode":"100644","sha":"d58eee065b87df49a60f1f88896c04eb3c44f54b","size":12704},{"path":"datasets/1.0/huggingface-open-hermes/metadata.json","mode":"100644","sha":"d71851491378b4a91778b4b5c595c420060bd526","size":10141},{"path":"datasets/1.0/huggingface-open-hermes/output/default.jsonl","mode":"100644","sha":"9e7724c86d2f821bf0c2ed77c8570cc463128f21","size":1304},{"path":"datasets/1.0/huggingface-pollen-robotics-apple-storage/index.html","mode":"100644","sha":"c9195d44ec33186a23756f92ff752f971ac71f81","size":11684},{"path":"datasets/1.0/huggingface-pollen-robotics-apple-storage/metadata.json","mode":"100644","sha":"15bf4548f3777db5935b647bdbe5765297fbc9b1","size":7900},{"path":"datasets/1.0/huggingface-pollen-robotics-apple-storage/output/default.jsonl","mode":"100644","sha":"9157c00c3dac027a85c7fad5ed3ab78bf125e012","size":2014},{"path":"datasets/1.0/huggingface-prism-alignment/index.html","mode":"100644","sha":"08e56bf8af300c2779f4938a8c5ae11dfb397ace","size":46831},{"path":"datasets/1.0/huggingface-prism-alignment/metadata.json","mode":"100644","sha":"851530bad069b1703ad6e7d900f31f8110876257","size":25131},{"path":"datasets/1.0/huggingface-prism-alignment/output/conversations.jsonl","mode":"100644","sha":"812381f30405eb4b29d0348982a43bea59918bdb","size":20738},{"path":"datasets/1.0/huggingface-rag-dataset/index.html","mode":"100644","sha":"e21d343ea4caee5f892966de5a05d93c11565983","size":10493},{"path":"datasets/1.0/huggingface-rag-dataset/metadata.json","mode":"100644","sha":"0bc6c7707c06eef8a4d169b4e3ee552269eeb6ba","size":8773},{"path":"datasets/1.0/huggingface-rag-dataset/output/question-answer.jsonl","mode":"100644","sha":"486850363cc654b194cb0d5f8591172d0ae33ca1","size":363},{"path":"datasets/1.0/huggingface-squad/index.html","mode":"100644","sha":"104ad98d85f23a52b7273f30a3fd62a9db659e85","size":12137},{"path":"datasets/1.0/huggingface-squad/metadata.json","mode":"100644","sha":"2cce5d75adfc57227801be352e642914137ab335","size":7297},{"path":"datasets/1.0/huggingface-squad/output/record_set_plain_text.jsonl","mode":"100644","sha":"b4288419748373fc79b3b23bb432eaff682c0572","size":3459},{"path":"datasets/1.0/huggingface-tgqa/index.html","mode":"100644","sha":"b83c014c0a68a750b44ecfb5adb3756729310d6f","size":21371},{"path":"datasets/1.0/huggingface-tgqa/metadata.json","mode":"100644","sha":"67d7b08c1fd0af83c625cf6e31cbaac250ea50fc","size":19939},{"path":"datasets/1.0/huggingface-tgqa/output/TGSR_test.jsonl","mode":"100644","sha":"3f3ba426ac230e54665d5063e6a42a05472e8c83","size":35333},{"path":"datasets/1.0/huggingface-the-cauldron/index.html","mode":"100644","sha":"ff9e397af904ab109612d4774cdea44cb47bb20a","size":9186},{"path":"datasets/1.0/huggingface-the-cauldron/metadata.json","mode":"100644","sha":"e09da306c61e5f57bedb65d93f2543b7d1d7829a","size":6846},{"path":"datasets/1.0/huggingface-the-cauldron/output/ai2d.jsonl","mode":"100644","sha":"bfa44078ef9641e7153b091dd8e067dbf5b9b472","size":320},{"path":"datasets/1.0/huggingface-web-of-science/index.html","mode":"100644","sha":"4ec99a970a7e97d7fc3d7f424fc4266797354b82","size":15529},{"path":"datasets/1.0/huggingface-web-of-science/metadata.json","mode":"100644","sha":"23710ea5a4fe9842e7fc1c016ab5faa7946306a1","size":13657},{"path":"datasets/1.0/json-join/data/items.json","mode":"100644","sha":"e15d7d4e0cc37cb49a5783d4d7b951cfc889be78","size":104},{"path":"datasets/1.0/json-join/data/prices.json","mode":"100644","sha":"2a15f1e8cf65fdce14f9d02c0725991981c5fe32","size":148},{"path":"datasets/1.0/json-join/metadata.json","mode":"100644","sha":"204c8d3f95165cc7151f50261542689da4ba57dc","size":4495},{"path":"datasets/1.0/json-join/output/items_with_prices.jsonl","mode":"100644","sha":"83c6996d3acd590156fe1878d8760470d3f19759","size":487},{"path":"datasets/1.0/movielens/index.html","mode":"100644","sha":"b2413f175c75289c64d4bd2bdeab4380c8391465","size":13891},{"path":"datasets/1.0/movielens/metadata.json","mode":"100644","sha":"5976049d7974e74c46b37bfcdeabbc73339f865e","size":12459},{"path":"datasets/1.0/pass-mini/data/PASS.0.tar","mode":"100644","sha":"a169d573fba001213fe2ed27bde86c2a72f5d282","size":10240},{"path":"datasets/1.0/pass-mini/data/PASS.1.tar","mode":"100644","sha":"42759261ea0aa893c8ad64a146a28e82ba92b419","size":10240},{"path":"datasets/1.0/pass-mini/data/pass_metadata.csv","mode":"100644","sha":"76f511b660d0358ab61619b2fb54068506eee9a1","size":1052},{"path":"datasets/1.0/pass-mini/index.html","mode":"100644","sha":"72c0379cccc901e9946831f245c2091c6525a117","size":10744},{"path":"datasets/1.0/pass-mini/metadata.json","mode":"100755","sha":"b30537278e79217fd168fa1ba6737210b992869e","size":5830},{"path":"datasets/1.0/pass-mini/output/images.jsonl","mode":"100644","sha":"377f2cd993c408f4fbd96c3da3171b13daf1442b","size":2610},{"path":"datasets/1.0/pass/index.html","mode":"100644","sha":"c5ce0b1aaa8bce7e05310a5f83888aca8aa75503","size":10253},{"path":"datasets/1.0/pass/metadata.json","mode":"100755","sha":"2428043e5af0bab8fe2ab72dcafc3d6155565de0","size":8689},{"path":"datasets/1.0/recipes/compressed_archive.json","mode":"100644","sha":"cc88bba01ddb3ee43883c9ff123b24b9fc408b4e","size":2713},{"path":"datasets/1.0/recipes/data/books.csv","mode":"100644","sha":"a0edce56e180241ed0e1a3703326844024cee765","size":374},{"path":"datasets/1.0/recipes/data/compressed_archive.zip","mode":"100644","sha":"62d94bb66ac81ef5a9752bd807cc18a403bc089b","size":251302},{"path":"datasets/1.0/recipes/data/enum.csv","mode":"100644","sha":"9c5a09576b47865d7b40719f7ceaa210b2f253a9","size":96},{"path":"datasets/1.0/recipes/data/enum_directions.csv","mode":"100644","sha":"19d3405a413492d03fbf0a07fd4d5ece96558e43","size":40},{"path":"datasets/1.0/recipes/data/file1.txt","mode":"100644","sha":"257cc5642cb1a054f08cc83f2d943e56fd3ebe99","size":4},{"path":"datasets/1.0/recipes/data/file2.txt","mode":"100644","sha":"5716ca5987cbf97d6bb54920bea6adde242d87e6","size":4},{"path":"datasets/1.0/recipes/data/minimal.csv","mode":"100644","sha":"c97f35ca13f05c6e50c711106810d35dc6cfed97","size":40},{"path":"datasets/1.0/recipes/data/read_binary_file_by_line/file1.txt","mode":"100644","sha":"85120923c9636699e59dfe62fe153eb8efdda11e","size":21},{"path":"datasets/1.0/recipes/data/read_binary_file_by_line/file2.txt","mode":"100644","sha":"b50fa16ca0c3dda95cfb621e2f113085c54a660b","size":24},{"path":"datasets/1.0/recipes/data/read_binary_file_by_line/files.zip","mode":"100644","sha":"a5a834d467a47317496a294b97bff815b0671d6c","size":571},{"path":"datasets/1.0/recipes/data/read_from_tar.tar.gz","mode":"100644","sha":"07c8b716d7209eb1c11e1199ea5eb41b3326c3ef","size":1062},{"path":"datasets/1.0/recipes/data/zip_with_csv.zip","mode":"100644","sha":"144d94a364dfd6273075624c296300cf1a0421f5","size":569},{"path":"datasets/1.0/recipes/enum.json","mode":"100644","sha":"40f82f04a8bd2876d13373946cb49f2b0c0f73cd","size":4534},{"path":"datasets/1.0/recipes/file_object_in_zip.json","mode":"100644","sha":"78ff6f6267a1c89969c54e3c2f4b6d3798639f8d","size":3288},{"path":"datasets/1.0/recipes/live_dataset.json","mode":"100644","sha":"14bf10098ec06256aa5a0d51ac3d68a9449f821e","size":2870},{"path":"datasets/1.0/recipes/minimal.json","mode":"100644","sha":"af4d6cbb6e5378aa7af96fae3922436183ed548f","size":1473},{"path":"datasets/1.0/recipes/minimal_recommended.json","mode":"100644","sha":"bfbeecdb8e3fa4011e6c4dc4e6250b626e055008","size":2905},{"path":"datasets/1.0/recipes/multiple_conforms_to.json","mode":"100644","sha":"8ed6f0226db06d5caaa56895e34825b4260611e2","size":2949},{"path":"datasets/1.0/recipes/output/csv.jsonl","mode":"100644","sha":"c13ae34b8843fc291f82a1abd5d70aac247ac0cc","size":44},{"path":"datasets/1.0/recipes/output/csv1.jsonl","mode":"100644","sha":"14c2f5e4a5d137f533016e8cd302856ec9f42943","size":54},{"path":"datasets/1.0/recipes/output/csv2.jsonl","mode":"100644","sha":"03f19f591f3c37a77cc4ae093edfe1758b955807","size":54},{"path":"datasets/1.0/recipes/output/hello.jsonl","mode":"100644","sha":"2b5e7ca65326d743d9dd4f2e355cf8e38f529378","size":159},{"path":"datasets/1.0/recipes/output/images_with_annotations.jsonl","mode":"100644","sha":"eaa8faddbabbf671dc171830549f13ab00f4c9d2","size":2536},{"path":"datasets/1.0/recipes/output/read_from_directory_example.jsonl","mode":"100644","sha":"e7fcad6ec360b33cfb0041b73ac3d009677faaf0","size":88},{"path":"datasets/1.0/recipes/output/translations_from_directory.jsonl","mode":"100644","sha":"b930c96f673cfc19990fef35200bd0469fa4b385","size":915},{"path":"datasets/1.0/recipes/output/translations_from_zip.jsonl","mode":"100644","sha":"a563103704eccc33a23fcf67ca23430d748138d9","size":807},{"path":"datasets/1.0/recipes/read_binary_file_by_line.json","mode":"100644","sha":"a2c9184b72255ac5a8da8363d51ada93c43102d1","size":5768},{"path":"datasets/1.0/recipes/read_from_directory.json","mode":"100644","sha":"bac8598288d2efa88b407ce8c7bf8adb7ef63a90","size":2203},{"path":"datasets/1.0/recipes/read_from_tar.json","mode":"100644","sha":"c5bd882214799c9bf1d9a9afcf5a01282111f30e","size":6099},{"path":"datasets/1.0/recipes/simple-split.json","mode":"100644","sha":"679186d0ce4d3a19ab7bafe3f96e2c02e9436521","size":3190},{"path":"datasets/1.0/simple-join/data/publications.csv","mode":"100644","sha":"4758546276f37363f46d2654db597149ac0e0189","size":251},{"path":"datasets/1.0/simple-join/index.html","mode":"100644","sha":"f26966bf365ad48ce6985710a0010a2422da95b6","size":7200},{"path":"datasets/1.0/simple-join/metadata.json","mode":"100644","sha":"c29ba073c2b384c62b1ee2bc5c9a5d17e16cf8fa","size":4338},{"path":"datasets/1.0/simple-join/output/publications_by_user.jsonl","mode":"100644","sha":"d3e0b0f5be8d29998177413ee5b80e3d7aa1ea33","size":623},{"path":"datasets/1.0/simple-join/output/users.jsonl","mode":"100644","sha":"87de3db38442f5731b9310a954b2de36291d79c9","size":286},{"path":"datasets/1.0/simple-parquet/data/dataframe.parquet","mode":"100644","sha":"ac7312716c13d0070a045f4eec19c8fa66f8aa0d","size":2315},{"path":"datasets/1.0/simple-parquet/index.html","mode":"100644","sha":"59686676320d58dcbbbc91d9ea6191f3447a4b5f","size":4596},{"path":"datasets/1.0/simple-parquet/metadata.json","mode":"100644","sha":"c1620c1a65b0f4587f5cf7fca7a9f49a57049fab","size":2719},{"path":"datasets/1.0/simple-parquet/output/persons.jsonl","mode":"100644","sha":"97615dbb119478ba0199fb3fc46819845e9acf86","size":460},{"path":"datasets/1.0/simple-split/data/test.parquet","mode":"100644","sha":"924a708b55225387ed84b6c5e5006978654a5935","size":2224},{"path":"datasets/1.0/simple-split/data/train.parquet","mode":"100644","sha":"0434662804a9dbf8aee167c6448df834ef239a4e","size":2236},{"path":"datasets/1.0/simple-split/index.html","mode":"100644","sha":"c0426fd10d302dcd9177e6bf27e1298e0f9655a8","size":4592},{"path":"datasets/1.0/simple-split/metadata.json","mode":"100644","sha":"68dd12f6a8c529cf725d877fa7ff4534ac6f0c12","size":2706},{"path":"datasets/1.0/simple-split/output/data.jsonl","mode":"100644","sha":"7e346923f68bdb5f127d4fbabc9eee7b1cc6b69c","size":120},{"path":"datasets/1.0/titanic/data/embarkation_ports.csv","mode":"100644","sha":"a4e9ad2da031bf80afb7733816c2b1dec233ca4b","size":109},{"path":"datasets/1.0/titanic/data/genders.csv","mode":"100644","sha":"45632dc881fa266c4fead1ed6d4198c23983f821","size":100},{"path":"datasets/1.0/titanic/data/titanic.csv","mode":"100644","sha":"7b9ff11973f07038aee74b66bbbc2aac4775a364","size":117743},{"path":"datasets/1.0/titanic/index.html","mode":"100644","sha":"ee74b2e0294fb309efffb8542767de8ba742824b","size":18197},{"path":"datasets/1.0/titanic/metadata.json","mode":"100644","sha":"bd6b40239d5e81427d12ab37bb280c6ac4b26b59","size":13195},{"path":"datasets/1.0/titanic/output/embarkation_ports.jsonl","mode":"100644","sha":"c8318521a474ab3be145f924af1afb20ae84ed61","size":443},{"path":"datasets/1.0/titanic/output/genders.jsonl","mode":"100644","sha":"7832d25658e1830ed71c87d3ffda054732963cd7","size":168},{"path":"datasets/1.0/titanic/output/passengers.jsonl","mode":"100644","sha":"2d56e74f45fbfea31efd6feffde95655ff7a0a49","size":574038},{"path":"datasets/1.0/wiki-text/data/splits.csv","mode":"100644","sha":"a2105251867a6304295209b8a2bf8662c713d00d","size":170},{"path":"datasets/1.0/wiki-text/index.html","mode":"100644","sha":"8a829fdbfc178fa7072bab26fa98f97766a84fc5","size":7656},{"path":"datasets/1.0/wiki-text/metadata.json","mode":"100644","sha":"88fdae2364107c5f2151be2c4fc15c4f92f5460e","size":5844},{"path":"datasets/1.0/world-happiness/index.html","mode":"100644","sha":"211cb9e0314084e2d6daf36ee442fcf3ebfd4c77","size":31263},{"path":"datasets/1.0/world-happiness/metadata.json","mode":"100644","sha":"196dbf4f51aa8e2dd4c988feb1a9ba5e97274d93","size":29831},{"path":"datasets/1.0/world-happiness/output/2015.csv_records.jsonl","mode":"100644","sha":"7c339c2300ef13bb1ee974f93c485a0aa0774641","size":53988},{"path":"datasets/1.1/audio_test/data/Clap.mp3","mode":"100644","sha":"d4e90035cec92381ae1c9508ed684159a8af49f5","size":18318},{"path":"datasets/1.1/audio_test/data/Snap.mp3","mode":"100644","sha":"646ccc96f2d59976c942a4695949c8c30a90f3ab","size":23790},{"path":"datasets/1.1/audio_test/index.html","mode":"100644","sha":"1b6a56e55a91ad0906ce7155cee5fbc031bab716","size":4344},{"path":"datasets/1.1/audio_test/metadata.json","mode":"100644","sha":"4a9328b95b912d4b8c0272a5cd3d53f9a18d4149","size":2273},{"path":"datasets/1.1/audio_test/output/records.jsonl","mode":"100644","sha":"09e64d92f05d263bd4ef894a4e60bf51c9bd68ae","size":340},{"path":"datasets/1.1/commoncrawl-CC-MAIN-2025-43-draft/index.html","mode":"100644","sha":"821d0ac8c5df01474c251f2b8e9c9b2d6d92b3ea","size":10088},{"path":"datasets/1.1/commoncrawl-CC-MAIN-2025-43-draft/metadata.json","mode":"100644","sha":"f229768d5d0b949081e6e6d6014755ceb744b51e","size":7698},{"path":"datasets/1.1/commoncrawl-CC-MAIN-2025-43-draft/output/warc-records.jsonl","mode":"100644","sha":"1d9a7f412cd9b7f3a156af24e660b0ad59f22c41","size":402},{"path":"datasets/1.1/huggingface-baratilab-flow3d/index.html","mode":"100644","sha":"01aa37b143bec30d66f42b3a6c2cd4434b1fa217","size":8251},{"path":"datasets/1.1/huggingface-baratilab-flow3d/metadata.json","mode":"100644","sha":"6e5da10160eac3981cbe18b2fd31b52c9514db5a","size":6655},{"path":"datasets/1.1/huggingface-baratilab-flow3d/output/0_0100_01.4_1.0E-4_1.0E-2.jsonl","mode":"100644","sha":"8286d9307494548fe02d6d2bc13795f81a4d4095","size":594},{"path":"datasets/1.1/huggingface-data_provenance_initiative/index.html","mode":"100644","sha":"bac6de810bbe5cc3e4734697a2ebf5482be1f7f3","size":10901},{"path":"datasets/1.1/huggingface-data_provenance_initiative/metadata.json","mode":"100644","sha":"debc353c61e4cd8ff1bada327c1c64f831187218","size":9323},{"path":"datasets/1.1/huggingface-manud-dfl_video_classification/index.html","mode":"100644","sha":"df4e029232e73ddaa808c8dfe73fda4c17373db7","size":6606},{"path":"datasets/1.1/huggingface-manud-dfl_video_classification/metadata.json","mode":"100644","sha":"cd5a428598803a7d2a13fb10ff385ae4a6bfaa94","size":4379},{"path":"datasets/1.1/huggingface-manud-dfl_video_classification/output/default.jsonl","mode":"100644","sha":"403bad3f3d377c615b936108073280e0646bb322","size":466},{"path":"datasets/1.1/huggingface-mnist-from-main-branch/index.html","mode":"100644","sha":"72ebe3215afe4e6fe8940c3cc35446e2d3cabc37","size":7218},{"path":"datasets/1.1/huggingface-mnist-from-main-branch/metadata.json","mode":"100644","sha":"3b6a9525f10da204080da0bf2d9e0371dbbd592e","size":5091},{"path":"datasets/1.1/huggingface-mnist-from-main-branch/output/default.jsonl","mode":"100644","sha":"f41fcb0d5790c093bc27d3368c6835236bd8277a","size":346},{"path":"datasets/1.1/huggingface-pollen-robotics-apple-storage/data/repo/default/train/0000.parquet","mode":"100644","sha":"17a6c438035a62bbc964bcefeb306fac7277c143","size":7826},{"path":"datasets/1.1/huggingface-pollen-robotics-apple-storage/index.html","mode":"100644","sha":"e77b38d44c4e35d113e6cf4dd933822fd225e4c5","size":12076},{"path":"datasets/1.1/huggingface-pollen-robotics-apple-storage/metadata.json","mode":"100644","sha":"59fac5ede29344779a0601a28376e7006bc4681a","size":8057},{"path":"datasets/1.1/huggingface-pollen-robotics-apple-storage/output/default.jsonl","mode":"100644","sha":"850e2025380303da8d01a230f976c62a9149d416","size":2269},{"path":"datasets/1.1/huggingface-qazisaad-news_recommendations_base/index.html","mode":"100644","sha":"af4b2d947a282b77dc64f46f08af7f5ee2922e45","size":8841},{"path":"datasets/1.1/huggingface-qazisaad-news_recommendations_base/metadata.json","mode":"100644","sha":"282d0e121c54c14772909b6b78f77688a41d4c51","size":6108},{"path":"datasets/1.1/huggingface-qazisaad-news_recommendations_base/output/default.jsonl","mode":"100644","sha":"5102b0e5c272449b1aa70e87dff68da71b7f5cce","size":973},{"path":"datasets/1.1/huggingface-recipe_RL_data_roberta-base/index.html","mode":"100644","sha":"a1269c729257d8cc4d86c0e4485a505266ea5f9a","size":19960},{"path":"datasets/1.1/huggingface-recipe_RL_data_roberta-base/metadata.json","mode":"100644","sha":"9851f54ccc18268f966ea96543d9b167744c4965","size":7384},{"path":"datasets/1.1/huggingface-recipe_RL_data_roberta-base/output/default.jsonl","mode":"100644","sha":"56e939565416d148dcd955684877732f4663a7c0","size":10832},{"path":"datasets/1.1/huggingface-squad_v2/index.html","mode":"100644","sha":"38b4035fbdf37e371f307b6c530da4c7de49fea4","size":9641},{"path":"datasets/1.1/huggingface-squad_v2/metadata.json","mode":"100644","sha":"47c3786806e8a51c01951864cff1dbc7839c15bd","size":8122},{"path":"datasets/1.1/huggingface-squad_v2/output/record_set_plain_text.jsonl","mode":"100644","sha":"b4288419748373fc79b3b23bb432eaff682c0572","size":3459},{"path":"datasets/1.1/huggingface-standard-chess-game-mini/data/0001.parquet","mode":"100644","sha":"5a02170bc39b5874e2667b92aa660d30dbc3acda","size":38131990},{"path":"datasets/1.1/huggingface-standard-chess-game-mini/index.html","mode":"100644","sha":"acf9d74d8b47119b0046aecf86271728eda3ce2d","size":11231},{"path":"datasets/1.1/huggingface-standard-chess-game-mini/metadata.json","mode":"100644","sha":"ae0b64198c28301893b7ff60fcfb20ad3b70472f","size":8829},{"path":"datasets/1.1/huggingface-standard-chess-game-mini/output/default.jsonl","mode":"100644","sha":"10f6bbd9ea3d0013dc21f927dd1ecdbe76925a4f","size":1645},{"path":"datasets/1.1/huggingface-wildchat/index.html","mode":"100644","sha":"4e2e3a1a35f1824229c3db643a4dc3c89daa58dc","size":71940},{"path":"datasets/1.1/huggingface-wildchat/metadata.json","mode":"100644","sha":"50c4b0e9844f535674bdb3e532ec3f0ef65b73b5","size":59555},{"path":"datasets/1.1/huggingface-wildchat/output/default.jsonl","mode":"100644","sha":"dd08a3f9c71ac38feeafb56813eb53f090f4e74b","size":22268},{"path":"datasets/1.1/image_test/index.html","mode":"100644","sha":"3f90d3903559d56a77b0d994e38c936ac3be8054","size":8299},{"path":"datasets/1.1/image_test/metadata.json","mode":"100644","sha":"e062e807aaf4937d7314bde0187466f66741c829","size":5620},{"path":"datasets/1.1/image_test/output/bands.jsonl","mode":"100644","sha":"fba35ada2845a2f1e609b1cf35827b04ba361b54","size":860},{"path":"datasets/1.1/image_test/output/images.jsonl","mode":"100644","sha":"85cff74218f265fb53ecbbd7aeb871e59198635d","size":1090},{"path":"datasets/1.1/image_test/output/labels.jsonl","mode":"100644","sha":"315e7cba08a668fe91d5bf087fc02942229d08e4","size":1060},{"path":"datasets/1.1/recipes/data/minimal.csv","mode":"100644","sha":"c97f35ca13f05c6e50c711106810d35dc6cfed97","size":40},{"path":"datasets/1.1/recipes/minimal_multilingual.json","mode":"100644","sha":"fe9ae8d7714e9576ae505514814387f0fe91255b","size":4269},{"path":"datasets/1.1/recipes/output/examples.jsonl","mode":"100644","sha":"91122d68c403ccb8bbfa462a2d206d6855bb3264","size":183},{"path":"datasets/1.1/zenodo-head-mri/data/1.3.46.670589.11.0.0.11.4.2.0.12098.5.4500.2015011413255023689","mode":"100755","sha":"bae5f22462002d1873077f515f8590c6605f27e2","size":140220},{"path":"datasets/1.1/zenodo-head-mri/data/1.3.46.670589.11.0.0.11.4.2.0.12098.5.4500.2015011413255023690","mode":"100755","sha":"bd8d59f133d1651475af172072092ee9950904c3","size":140218},{"path":"datasets/1.1/zenodo-head-mri/index.html","mode":"100644","sha":"22be3f655bd48e6a5be0a32c162da623ad10926b","size":6466},{"path":"datasets/1.1/zenodo-head-mri/metadata.json","mode":"100644","sha":"3c22405ca6460d098bcabbdc3ea18f7c6652cb34","size":4239},{"path":"datasets/1.1/zenodo-head-mri/output/images.jsonl","mode":"100644","sha":"29304cd3dd2f028bca8893f6983e14e21b97607d","size":356},{"path":"datasets/README.md","mode":"100644","sha":"1e8800e64ce73e98e78064dea6c6708f3af6f92e","size":380},{"path":"datasets/index.html","mode":"100644","sha":"1512c8354ce6321759785d16dc947754e9d0b6a0","size":43074},{"path":"datasets/static/gallery.min.css","mode":"100644","sha":"07bd180f3b8a2df8dd9f0dbf6802afdd4eb637b7","size":7655},{"path":"datasets/static/gallery.min.js","mode":"100644","sha":"833fe5be2e1094112b80abccb71c18c90a898c83","size":9865},{"path":"datasets/static/visualizer.min.css","mode":"100644","sha":"b27aef88dc44db8480902c71762b602f91ac9e74","size":14358},{"path":"datasets/static/visualizer.min.js","mode":"100644","sha":"156d5e2385d02e8a476991e1725e968acf130219","size":24575},{"path":"docs/croissant-geo-spec.md","mode":"100644","sha":"73f4c39b4153231a12f16e64eae5046044db860a","size":78957},{"path":"docs/croissant-rai-spec.md","mode":"100644","sha":"b9738682ea01ac12bf211d8cd29a890a45d683a1","size":53534},{"path":"docs/croissant-spec-1.0.md","mode":"100644","sha":"43e7837f01043e558ea3c41357df0f109d12ea19","size":77711},{"path":"docs/croissant-spec-1.1.md","mode":"100644","sha":"bc17351bf497a426d85bf2e220f8df3fe7b31fd6","size":103391},{"path":"docs/croissant-spec.md","mode":"100644","sha":"43e7837f01043e558ea3c41357df0f109d12ea19","size":77711},{"path":"docs/croissant.ttl","mode":"100644","sha":"c84b1e9a7284082b09919c7b81fb2eb9a33a8fa6","size":13918},{"path":"docs/croissant_geo.ttl","mode":"100644","sha":"15cfa221f78a48e45d4327a919202951d25cb20e","size":8503},{"path":"docs/croissant_rai.ttl","mode":"100644","sha":"55cf9b9654626142548d22325bd12f7edff00a99","size":6736},{"path":"docs/definitions/index.md","mode":"100644","sha":"584472f0cd2a1d0a2a7b88b4642b3edaec07709f","size":87},{"path":"docs/definitions/sitemap.md","mode":"100644","sha":"cad29c7ec6c6c73bdbedda233922c14b10e41318","size":171},{"path":"docs/definitions/split.md","mode":"100644","sha":"c4eba59553b761933d9bf5619b6abb5edaec986b","size":692},{"path":"docs/definitions/testing_split.md","mode":"100644","sha":"f0c4a1ee2eb173f698f31865135c2b130cedc10b","size":272},{"path":"docs/definitions/training_split.md","mode":"100644","sha":"1330325b331279812b465a0885f3906a2e6cbeed","size":202},{"path":"docs/definitions/validation_split.md","mode":"100644","sha":"8c84364254bcdc2538183af43a75a52c39b0c8d9","size":249},{"path":"docs/howto/ckan.md","mode":"100644","sha":"3e03fed1c7f83b4a6cbe5f59c3a80c6505041c16","size":1302},{"path":"docs/howto/readme.md","mode":"100644","sha":"51531982bc162a65f205cff7d95fe9b3eb25073a","size":1178},{"path":"docs/howto/specify-splits.md","mode":"100644","sha":"47a3a19d00084ad40db2a175b428cf3e59628d2e","size":4334},{"path":"docs/images/consumers.png","mode":"100644","sha":"a8e387e0ca8f75b9516d1831f66df2ad07466ff1","size":37918},{"path":"docs/images/creators.png","mode":"100644","sha":"8589f9aa321c9df2ad15550873be69970e3b9c01","size":34696},{"path":"docs/images/croissant-geo-user_survey1.png","mode":"100644","sha":"55c1b9851d189b6bb01f137d8fd8107308a1d777","size":45771},{"path":"docs/images/croissant-geo-user_survey2.png","mode":"100644","sha":"223b0002cce6d74354cba4349f69fd26b84bed27","size":52858},{"path":"docs/images/croissant-provenance.png","mode":"100644","sha":"15517f0c98b450a030c159e3850114bfcbad90ea","size":75672},{"path":"docs/images/croissant-summary.png","mode":"100644","sha":"8b96319098ab193709204bab70c3536243bca204","size":256925},{"path":"docs/images/cross-product.png","mode":"100644","sha":"5460bdfa83b3ae3b585cd5b33656fe86d473c7c1","size":48519},{"path":"docs/mlcroissant/Field.html","mode":"100644","sha":"83495949f8d8b42079851ce841b42336f95bb451","size":4844},{"path":"docs/mlcroissant/FileObject.html","mode":"100644","sha":"5aa0b9e345adf28d8d987d27103cc75c6f4cc877","size":4686},{"path":"docs/mlcroissant/FileSet.html","mode":"100644","sha":"903e2c211a81e4b5771621e75306220dbb34f7df","size":3409},{"path":"docs/mlcroissant/Metadata.html","mode":"100644","sha":"441082351da317862645dd00a65b4bb1a4642d46","size":16106},{"path":"docs/mlcroissant/RecordSet.html","mode":"100644","sha":"03d01a5e0f7f6fd3cd50db635359eec014a9b0ac","size":3777},{"path":"eclair/.gitignore","mode":"100644","sha":"7c29c7290cf8c7b0d38f9bc3a7e0406e308333f7","size":571},{"path":"eclair/MANIFEST.in","mode":"100644","sha":"cf7d55ec47a66c82932d4b3754814958725f9e6f","size":264},{"path":"eclair/README.md","mode":"100644","sha":"06390296eb4b5e0c8cda51630cb0fc3c46a63cd9","size":896},{"path":"eclair/build.sh","mode":"100755","sha":"d21efe00580d53e207969e3576b3691f8cbe4f8d","size":446},{"path":"eclair/config.json","mode":"100644","sha":"eaaf964082296a71a2f304cb0a2fe9ff4066e9cb","size":494},{"path":"eclair/docs/api/python-client.md","mode":"100644","sha":"b593156b5529e51ed105a8b01f814de5a227fee4","size":8401},{"path":"eclair/docs/api/tools.md","mode":"100644","sha":"7dfcbd437c8b3d87b6c0c83262264fde7432a44e","size":16055},{"path":"eclair/docs/development/index.md","mode":"100644","sha":"518039cc60a562f53ee8eac42f0c1cc8e259f31d","size":8278},{"path":"eclair/docs/getting-started/installation.md","mode":"100644","sha":"8a771d92012b0be56eea9051a53d83e10f84f5e6","size":3767},{"path":"eclair/docs/getting-started/running-server.md","mode":"100644","sha":"731272d4e82b7afe31903b3dd508a2426c37f0c4","size":2265},{"path":"eclair/docs/images/claude-1.png","mode":"100644","sha":"d8b36584759c350dabfd0d463e3a881429ad52d9","size":112604},{"path":"eclair/docs/images/claude-2.png","mode":"100644","sha":"353c358b9960552943c0227a016096062c01ae4d","size":459512},{"path":"eclair/docs/images/claude-3.png","mode":"100644","sha":"cc06b41e1c0b774e2ff43428f8bd6a57197fb61a","size":122583},{"path":"eclair/docs/images/claude-4.png","mode":"100644","sha":"b67e851e9a89aed9bdc033598478df672b74ca70","size":86042},{"path":"eclair/docs/images/claude-5.png","mode":"100644","sha":"2da4216745dfc96e033d2b994aea177248e0effe","size":401286},{"path":"eclair/docs/images/claude-6.png","mode":"100644","sha":"30a117c3dda2d02d960b136cb813c8b769382304","size":528942},{"path":"eclair/docs/images/claude.png","mode":"100644","sha":"fb4a635aa8cec68feef97e605de9692ee198268e","size":91013},{"path":"eclair/docs/images/copilot-0a.png","mode":"100644","sha":"5857f25c0ab6dd070691862df37fe9f7a1dda3e9","size":96419},{"path":"eclair/docs/images/copilot-0b.png","mode":"100644","sha":"e47b9d31f73c1fb8b85ab098a4c88cb77b19b7d6","size":33870},{"path":"eclair/docs/images/copilot-1.png","mode":"100644","sha":"8ef7d8621d6849154a6b3b50ea9167d097f96bca","size":130966},{"path":"eclair/docs/images/copilot-2.png","mode":"100644","sha":"38567c6c9c45c123655cfbe4c741b40d1973ce79","size":325763},{"path":"eclair/docs/images/copilot-3.png","mode":"100644","sha":"fd1cde8eade4a1e6f14e774bc5d97b59247d38f7","size":112569},{"path":"eclair/docs/images/copilot-4.png","mode":"100644","sha":"51ab10b48477f93dee4190d743d185f72c4899f8","size":196085},{"path":"eclair/docs/images/copilot-5.png","mode":"100644","sha":"988060fef698d91c7a676846bc0217b797bc886a","size":342755},{"path":"eclair/docs/images/copilot-6.png","mode":"100644","sha":"4bbb5e910120c98993c927e65a700b0d441f0c5d","size":371685},{"path":"eclair/docs/images/copilot-7.png","mode":"100644","sha":"aae079c6d8f8d100834cf6b0e2595a9068797595","size":189577},{"path":"eclair/docs/images/eclair-diagram.png","mode":"100644","sha":"72ae3285f57489da5de31508194ba6e174ced0d1","size":1484256},{"path":"eclair/docs/images/eclair-diagram2.png","mode":"100644","sha":"a3f1364a963304b033fbedc11c9f0b6ad2d0dadc","size":756759},{"path":"eclair/docs/images/eclair-screen.png","mode":"100644","sha":"56a71bbaf352342163024d63947ef49986fc56df","size":97073},{"path":"eclair/docs/images/eclair.excalidraw","mode":"100644","sha":"4ceca9d380aed67f3b1b5d494dc7afeca6816d09","size":2960022},{"path":"eclair/docs/images/fashion-1.png","mode":"100644","sha":"ce52cbc5cf6b7002aee67a95ac705219cad5515b","size":157571},{"path":"eclair/docs/images/fashion-2.png","mode":"100644","sha":"c46148a32102c2d0b431dc91d3b5afe1d24a490d","size":226700},{"path":"eclair/docs/images/fashion-3.png","mode":"100644","sha":"da1ef30086923aa55c757ccde3b3781234f2c6fe","size":71733},{"path":"eclair/docs/images/fashion-4.png","mode":"100644","sha":"9228b503c7181c0ad69b75081596b6b3492fb4c3","size":336834},{"path":"eclair/docs/images/fashion-5.png","mode":"100644","sha":"d80217fc88f362c9f2dd73a13427ec91c8cf6997","size":166508},{"path":"eclair/docs/images/fashion-5a.png","mode":"100644","sha":"b31944734b9061a03d96d1700c887298e3f2f0e3","size":672146},{"path":"eclair/docs/images/fashion-5b.png","mode":"100644","sha":"66ed343a0f1b96d7896d89bdc70ede82996ac5bb","size":626382},{"path":"eclair/docs/images/fashion_mnist_examples.png","mode":"100644","sha":"73c3b5c116f1b53104343104f45e8dc9396631c9","size":18641},{"path":"eclair/docs/images/gca-1.png","mode":"100644","sha":"3050e9c99bbd4596bc0eb76a433501663f00ff64","size":709745},{"path":"eclair/docs/images/gca-2.png","mode":"100644","sha":"e076185dc337773de2defbd554db0c2544c6a724","size":678281},{"path":"eclair/docs/images/gca-3.png","mode":"100644","sha":"43aa7a1c8d77911197e0bbc5fe4f640b707a35c2","size":872615},{"path":"eclair/docs/images/gca.png","mode":"100644","sha":"5d27ff709987a5a384ad39697d96bcda372976f3","size":86951},{"path":"eclair/docs/images/gemini.png","mode":"100644","sha":"2d14bdaea90f3f8a270fbd491923794c95b0e849","size":164688},{"path":"eclair/docs/index.md","mode":"100644","sha":"a265eabcf45f260a458958ea6886ef12ce3d9b66","size":6503},{"path":"eclair/docs/usage/ai-agents/claude-code.md","mode":"100644","sha":"5458dfee06caf43cfe72d7e0440e7b89e3e9f2c8","size":4293},{"path":"eclair/docs/usage/ai-agents/gemini-cli.md","mode":"100644","sha":"b11b6e2f20ba4b09b01276dede86001ab9d5b289","size":4384},{"path":"eclair/docs/usage/cli.md","mode":"100644","sha":"0197e1dfc2cf56d884d39bcef807bd6945ddd87c","size":6943},{"path":"eclair/docs/usage/ide/vscode-copilot.md","mode":"100644","sha":"9a90d99eb5aacc1bfdf7a8a7d226c8170ef6d127","size":4789},{"path":"eclair/docs/usage/ide/vscode-gemini.md","mode":"100644","sha":"6f218e2bdd656b1af6e022e0f22aeab6120d2068","size":5422},{"path":"eclair/docs/usage/overview.md","mode":"100644","sha":"02188f33ea39add201bdcdfc482d5e4a78c3a6d1","size":1705},{"path":"eclair/docs/usage/python-api.md","mode":"100644","sha":"b6a4a3827654d6f4ba0d28b373a0dda100ddc394","size":24069},{"path":"eclair/mkdocs.yml","mode":"100644","sha":"11e8b77fd894efefdc4209d1e6e62378bcd4c529","size":2688},{"path":"eclair/pyproject.toml","mode":"100644","sha":"fb2e6b1ad3c43af5fb801afdc69c7ccc97d4f0fb","size":3608},{"path":"eclair/requirements-dev.txt","mode":"100644","sha":"d5ea786dc5377d3824a614736de4efe951895ff0","size":261},{"path":"eclair/requirements.txt","mode":"100644","sha":"eaea20058f0db0a69fd9cb61837cfad76cec956d","size":181},{"path":"eclair/src/eclair/__init__.py","mode":"100644","sha":"0d07628d7f534197de03f138f6ce51cdceffd28d","size":900},{"path":"eclair/src/eclair/client/__init__.py","mode":"100644","sha":"615df8bba6fcfe711bfd1cccd15bec88a73da03c","size":433},{"path":"eclair/src/eclair/client/claude/__init__.py","mode":"100644","sha":"b38f4c7dd7f41c28eac68e83297ad0692db6ae67","size":291},{"path":"eclair/src/eclair/client/claude/client.py","mode":"100644","sha":"0d7bcf0495292b5fd19676b57daf7a0ff5529607","size":8614},{"path":"eclair/src/eclair/client/cli.py","mode":"100644","sha":"62547185ecdbaf9e7d044fdae24a4f369ecd3f45","size":5163},{"path":"eclair/src/eclair/client/client.py","mode":"100644","sha":"83117e14090eb24ae408ac99750068468ca29f31","size":2798},{"path":"eclair/src/eclair/client/gemini.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"eclair/src/eclair/client/gemini/__init__.py","mode":"100644","sha":"171e1cc1676cb4a0cbc76b286d4c2631b24f3f54","size":206},{"path":"eclair/src/eclair/client/gemini/client.py","mode":"100644","sha":"1073d0b76064b76c2bbcc51017d1a4023a752c66","size":11952},{"path":"eclair/src/eclair/py.typed","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"eclair/src/eclair/server/__init__.py","mode":"100644","sha":"bece288c702a3b8fb153018435a95280deccebc9","size":180},{"path":"eclair/src/eclair/server/cli.py","mode":"100644","sha":"71e1857f46ae5488c0206b1802608c2610771573","size":106},{"path":"eclair/src/eclair/server/context/builder_context.md","mode":"100644","sha":"0659b865526d7b8987721d1c93672140da79fca2","size":1832},{"path":"eclair/src/eclair/server/context/croissant_builder_persona.md","mode":"100644","sha":"bfca496d9f6d7772daf75c277aa1ff5cda3cd8a5","size":6576},{"path":"eclair/src/eclair/server/context/croissant_spec.md","mode":"100644","sha":"1161e4ba2ec8e192f6c0f8eff0e1db8171d68465","size":28807},{"path":"eclair/src/eclair/server/context/help.md","mode":"100644","sha":"8e09b6ca550218cb6a9b3f2fa7495adcad54d100","size":4004},{"path":"eclair/src/eclair/server/help.md","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"eclair/src/eclair/server/server.py","mode":"100644","sha":"2b362418ae3693c54ed0050add1eb64b0ab8bcda","size":8178},{"path":"eclair/src/eclair/server/tools.py","mode":"100644","sha":"d354d9c6e3a2ca62c619234203ebe803e5244413","size":14107},{"path":"eclair/src/eclair/server/validation.py","mode":"100644","sha":"90e85ed9ad22d166bd6d18ef14566afc6c623160","size":4229},{"path":"eclair/start.sh","mode":"100755","sha":"ad43d5f88b1192c969264f83dfd91f271f089d50","size":348},{"path":"eclair/tests/__init__.py","mode":"100644","sha":"62e2d18b527b392c192b172e85cc70334828a6df","size":31},{"path":"eclair/tests/resources/openml_covertype_croissant.json","mode":"100644","sha":"29f0fdc80fd9d950da9cd6b58149adc019e3cea1","size":19121},{"path":"eclair/tests/test_client.py","mode":"100644","sha":"44678e4d627142d98888ac32b5729f716691b42a","size":16820},{"path":"eclair/tests/test_documentation_examples.py","mode":"100644","sha":"0e0ab8544bcfcfe204976098715b62274be31ab7","size":7462},{"path":"eclair/tests/test_eclair_client.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"eclair/tests/test_imports.py","mode":"100644","sha":"ab355559711b298bf266356b8b90d5c5b56cf39e","size":844},{"path":"eclair/tests/test_server.py","mode":"100644","sha":"abadc3c5dfe3589db7ea55a94c2e73a7350aa103","size":14359},{"path":"eclair/tests/test_upstream.py","mode":"100644","sha":"8f5e87dbb3f44d54380024a897e1005e4c46f0db","size":1647},{"path":"editor/.streamlit/config.toml","mode":"100644","sha":"8a3dfdd93a4dd341741813023102e48c1d446664","size":176},{"path":"editor/Dockerfile","mode":"100644","sha":"a352d9134f925a8686655bcbccca2af13a76ad62","size":442},{"path":"editor/Makefile","mode":"100644","sha":"15c75e13c8a5f9f2698ac4c0f170dc3b9ee841ff","size":551},{"path":"editor/README.md","mode":"100644","sha":"510e95b772c29299dba8aa94e6c65eef9dfc8fc1","size":3128},{"path":"editor/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"editor/app.py","mode":"100644","sha":"eeca7f6929d5c490b00bf507c3f30618777a530b","size":2877},{"path":"editor/components/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"editor/components/flex/__init__.py","mode":"100644","sha":"6fbeebab61c875ce4e99ad81eed13ca444c836ac","size":2346},{"path":"editor/components/safe_button.py","mode":"100644","sha":"e461514c371c97d3dc645390af4a788d00810c7f","size":947},{"path":"editor/components/tabs/__init__.py","mode":"100644","sha":"77c58d174313661d7688b8f8bf29fb2715d5418f","size":1476},{"path":"editor/components/tabs/frontend/.env","mode":"100644","sha":"53fec385467996e4e3cc0647f495b2facc24ddd4","size":179},{"path":"editor/components/tabs/frontend/.prettierrc","mode":"100644","sha":"0735a4274eaf273500e78da223858daa642ada15","size":67},{"path":"editor/components/tabs/frontend/build/asset-manifest.json","mode":"100644","sha":"a0fd0051cf9209c0f681c98bce426ef4ab990710","size":221},{"path":"editor/components/tabs/frontend/build/index.html","mode":"100644","sha":"06ba25c7d760b7d09baac595627c9f760c47eb62","size":453},{"path":"editor/components/tabs/frontend/build/static/js/main.a44b10fc.js","mode":"100644","sha":"33bd5004f81cb48ada71ccd8d877114de7268311","size":472481},{"path":"editor/components/tabs/frontend/build/static/js/main.a44b10fc.js.LICENSE.txt","mode":"100644","sha":"277cefc8db7bbff2b691e14cd53d2ebe2d76c9d5","size":1755},{"path":"editor/components/tabs/frontend/build/static/js/main.a44b10fc.js.map","mode":"100644","sha":"6b5b61ede90d6ca6cd0b470e7d1d82c40a68833e","size":2030007},{"path":"editor/components/tabs/frontend/package-lock.json","mode":"100644","sha":"72b86b41796c6c092a48e0927d71c0ed9423cc86","size":729508},{"path":"editor/components/tabs/frontend/package.json","mode":"100644","sha":"e84034a816d818d412b4ab0f0e51bddc9f072341","size":1012},{"path":"editor/components/tabs/frontend/public/index.html","mode":"100644","sha":"c97c216bad89e1cddd785eaead31dde34a750e53","size":827},{"path":"editor/components/tabs/frontend/src/Tabs.tsx","mode":"100644","sha":"045508b6f99aee4fd339d8101dfed8243bc652b7","size":2797},{"path":"editor/components/tabs/frontend/src/index.tsx","mode":"100644","sha":"d3ba5b0f716cea605dc46b65e4fd1b3b7261af5b","size":200},{"path":"editor/components/tabs/frontend/src/react-app-env.d.ts","mode":"100644","sha":"6431bc5fc6b2c932dfe5d0418fc667b86c18b9fc","size":40},{"path":"editor/components/tree/__init__.py","mode":"100644","sha":"6f474f19cf442ba9d3cb5f80748284dd9fa1644d","size":1380},{"path":"editor/components/tree/frontend/.env","mode":"100644","sha":"53fec385467996e4e3cc0647f495b2facc24ddd4","size":179},{"path":"editor/components/tree/frontend/.prettierrc","mode":"100644","sha":"0735a4274eaf273500e78da223858daa642ada15","size":67},{"path":"editor/components/tree/frontend/build/asset-manifest.json","mode":"100644","sha":"bdb4a07c386a30b50bfa49beba49504a7bae67fe","size":221},{"path":"editor/components/tree/frontend/build/index.html","mode":"100644","sha":"e095552d5e0c14985bee4b70d6ebe529584dec39","size":453},{"path":"editor/components/tree/frontend/build/static/js/main.5a572f5d.js","mode":"100644","sha":"1352a8d36cc6cbf1f007a34cb52ee59f6ea00a25","size":437270},{"path":"editor/components/tree/frontend/build/static/js/main.5a572f5d.js.LICENSE.txt","mode":"100644","sha":"526ec990ab5136fb1503edf51f70f36091a294d0","size":1514},{"path":"editor/components/tree/frontend/build/static/js/main.5a572f5d.js.map","mode":"100644","sha":"04e7c452e50c480e1f7edc2cfde31060c254a7fd","size":1814057},{"path":"editor/components/tree/frontend/package-lock.json","mode":"100644","sha":"f64142a2343317329eaf3614b207cc526ff507fd","size":730887},{"path":"editor/components/tree/frontend/package.json","mode":"100644","sha":"b13e6a46e7000c5e0372f16761cd5d5f777bbb11","size":1017},{"path":"editor/components/tree/frontend/public/index.html","mode":"100644","sha":"ca10140986b8ee692106a62adc9714b44cba6dbc","size":827},{"path":"editor/components/tree/frontend/src/Tree.tsx","mode":"100644","sha":"cbee82f65b5a8f16d39d7cda9c63fc1ce86096f0","size":5627},{"path":"editor/components/tree/frontend/src/index.tsx","mode":"100644","sha":"fc581e44b6f2b5befdbcb502c5b7ed9145d6ad1d","size":196},{"path":"editor/components/tree/frontend/src/react-app-env.d.ts","mode":"100644","sha":"6431bc5fc6b2c932dfe5d0418fc667b86c18b9fc","size":40},{"path":"editor/components/tree/frontend/tsconfig.json","mode":"100644","sha":"547e0323cf1ebeb124d4954e52eb28a58796f79d","size":581},{"path":"editor/core/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"editor/core/constants.py","mode":"100644","sha":"3de12fdc40b1ea9933260d267f4a9b848d0a0b0b","size":1171},{"path":"editor/core/data_types.py","mode":"100644","sha":"e44fee3d4e74a65c33064378d5ead7fd6d2a3fa5","size":1195},{"path":"editor/core/data_types_test.py","mode":"100644","sha":"35ad86af9505c2c36e49d97f2d9e77279a13dab7","size":665},{"path":"editor/core/files.py","mode":"100644","sha":"ef7df4222903c62678bc90734df627dfaa4950d2","size":7551},{"path":"editor/core/files_test.py","mode":"100644","sha":"db1405db2c845a89b5040662ec24a35aae24333f","size":2805},{"path":"editor/core/names.py","mode":"100644","sha":"a660c7292b4a0fa85cc74dc00f71fa9facaa0085","size":315},{"path":"editor/core/names_test.py","mode":"100644","sha":"8207363de1768cf837257ed2b648f78ae0df55dc","size":398},{"path":"editor/core/past_projects.py","mode":"100644","sha":"b70d2db9e258403cfe2310551cef05db5b35ebc8","size":1480},{"path":"editor/core/path.py","mode":"100644","sha":"05d6b0291b3fd858cb0daa2e17505c08ecdf2f7a","size":416},{"path":"editor/core/query_params.py","mode":"100644","sha":"f000f7cc4139a0fece080545480c6610b8d945e7","size":2532},{"path":"editor/core/record_sets.py","mode":"100644","sha":"c3f27ebcfb6c3edf04f4cc8bc5c5009814eac7c1","size":1245},{"path":"editor/core/state.py","mode":"100644","sha":"5e9df56ee83afe40bbcd5180c61c6f455006184f","size":15984},{"path":"editor/core/state_test.py","mode":"100644","sha":"fc9dd6d6cc27f35443cf73f6ac44ea77036283c5","size":1287},{"path":"editor/cypress.config.js","mode":"100644","sha":"741ef19b87162231b41d5253b764d4752839d8c7","size":224},{"path":"editor/cypress/e2e/createManually.cy.js","mode":"100644","sha":"5d3910434c91185ef61dc2e30e48b367b378caae","size":1650},{"path":"editor/cypress/e2e/displayErrors.cy.js","mode":"100644","sha":"e7dda1a8b569a3177319394720dfcd6ec06f856b","size":1773},{"path":"editor/cypress/e2e/loadCroissant.cy.js","mode":"100644","sha":"8f1be2709e0d34c6cbd1a419fbae51f3efef7f0d","size":2045},{"path":"editor/cypress/e2e/renameDistribution.cy.js","mode":"100644","sha":"69ea2aa962136acf345ad7dd117b91f9016b61ff","size":1588},{"path":"editor/cypress/e2e/uploadCsv.cy.js","mode":"100644","sha":"63c5a126cafb4559f9f3de334b206db536888a35","size":2854},{"path":"editor/cypress/fixtures/0.8/titanic.json","mode":"100644","sha":"56ae22998c6052589a1c4171835333e52a966eb8","size":11003},{"path":"editor/cypress/fixtures/1.0/coco2014.json","mode":"100644","sha":"dd714515b352e5d5497b033723ca49f5db4b7fb9","size":14649},{"path":"editor/cypress/fixtures/1.0/titanic.json","mode":"100644","sha":"bd6b40239d5e81427d12ab37bb280c6ac4b26b59","size":13195},{"path":"editor/cypress/fixtures/base.csv","mode":"100644","sha":"841e85e88bb46976d77c6efd917f0904b6cf9f1e","size":28},{"path":"editor/cypress/support/constants.js","mode":"100644","sha":"0d7f50dae5a2d3a3a5c2a063d00309156e785be3","size":39},{"path":"editor/cypress/support/deepEqual.js","mode":"100644","sha":"59e16fbef9fb97f29933d2856d09c2ec92c1ff24","size":1031},{"path":"editor/cypress/support/e2e.js","mode":"100644","sha":"5fb719194d8a66d451822710e1a12d2a6e0dfad2","size":83},{"path":"editor/cypress/support/resize_observer.js","mode":"100644","sha":"938f810d03186b851970dd1095754f272c61f6d7","size":478},{"path":"editor/deploy_to_hf.sh","mode":"100755","sha":"5be1dfa29cbcfb85e77cf76fe38b48e391325cff","size":1230},{"path":"editor/events/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"editor/events/fields.py","mode":"100644","sha":"80c43421862ba6412d865b2f2597cf5ae98ab580","size":6257},{"path":"editor/events/metadata.py","mode":"100644","sha":"11c95f5d168c3021221c558af408de024f5abdd2","size":6531},{"path":"editor/events/metadata_test.py","mode":"100644","sha":"05dff89c1c7330d7554b7cd9538025785adc6e10","size":212},{"path":"editor/events/rai.py","mode":"100644","sha":"6de82053ba1ccc34572ad1e8ad82866626309dd4","size":4961},{"path":"editor/events/record_sets.py","mode":"100644","sha":"7212f4550c24cb7d25bd0620abaf6cc3fcc810ba","size":1919},{"path":"editor/events/resources.py","mode":"100644","sha":"6dfcb92509f3d5119ebc2b3201672bc293a0974f","size":3169},{"path":"editor/events/resources_test.py","mode":"100644","sha":"e843bc9627b510c788f9d0307e9c9c7a2dc78ef5","size":672},{"path":"editor/package-lock.json","mode":"100644","sha":"9175464ceb2f28f4ccd518d2a94d0289e9e843ac","size":73140},{"path":"editor/package.json","mode":"100644","sha":"0406d5a3e12fe4b5ec8745d157736c729c03e7da","size":299},{"path":"editor/requirements.txt","mode":"100644","sha":"d7239ecd9e881b2c452b8bdaf289b7ccea6e2d5a","size":183},{"path":"editor/utils.py","mode":"100644","sha":"6d7cc6c50fe6c00d4a1745de4b7345457627bb72","size":1419},{"path":"editor/views/files.py","mode":"100644","sha":"306fb5f1b14984923652078eb89152a4c7446b71","size":10814},{"path":"editor/views/jsonld.py","mode":"100644","sha":"50e2abe941deac5c8a54557d9646729a34bb20fa","size":2325},{"path":"editor/views/load.py","mode":"100644","sha":"c762bf6f80c740338f27b89574e1882741182b80","size":1586},{"path":"editor/views/metadata.py","mode":"100644","sha":"a23c6faafa3774bda6b53c7ea005683e44730069","size":3524},{"path":"editor/views/overview.py","mode":"100644","sha":"d27e33ec2929f671c9680115afe1f13cbe7e61e2","size":4488},{"path":"editor/views/previous_files.py","mode":"100644","sha":"95bdf2cfbf6c97d17ca27f822caf0ffb86d71a3c","size":1680},{"path":"editor/views/rai.py","mode":"100644","sha":"f72688cabf1a8d5a2f776575f510efe39006ea38","size":11599},{"path":"editor/views/record_sets.py","mode":"100644","sha":"e80aa217a3e9667ee2fd099d598ed68de7e00cdb","size":22847},{"path":"editor/views/record_sets_test.py","mode":"100644","sha":"92770abe03d76ca0bf0deeeeed0a66d8985f7c1a","size":1013},{"path":"editor/views/source.py","mode":"100644","sha":"dac0e3fb75cba00b57561cf3e7aa308768f51401","size":12863},{"path":"editor/views/splash.py","mode":"100644","sha":"b241f6a60f289847b10c17fc2fba269282785a37","size":3953},{"path":"editor/views/wizard.py","mode":"100644","sha":"b5805d772dfa2405601b43b61193749a4989e099","size":1730},{"path":"gen_pages.py","mode":"100644","sha":"b4183a9d80336d4f4557294a646d48da47c766a4","size":1358},{"path":"health/README.md","mode":"100644","sha":"62aa11dda9f8731ed15d0e6a5c64f2f963136461","size":1134},{"path":"health/crawler/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"health/crawler/exporters.py","mode":"100644","sha":"11da53192b5e5d3e7a90e5180c477e8fa801cccc","size":3228},{"path":"health/crawler/items.py","mode":"100644","sha":"55320127dce8594370965521daedbc8229155b91","size":1036},{"path":"health/crawler/middlewares.py","mode":"100644","sha":"8129badaa329eb79f9fc220b0a30a3c7fa3b9ba8","size":3650},{"path":"health/crawler/pipelines.py","mode":"100644","sha":"339869e8f022aa1527675b089a5b10d8f5b9a3a3","size":2775},{"path":"health/crawler/settings.py","mode":"100644","sha":"f3f6fc08586f504528b9b7aa330665438a481854","size":4074},{"path":"health/crawler/spiders/__init__.py","mode":"100644","sha":"ebd689ac51d69c5e1dbbe80083c2b20a39f8bb79","size":161},{"path":"health/crawler/spiders/base.py","mode":"100644","sha":"ea62f081d72add60098b1c57117f11666ec5544d","size":3828},{"path":"health/crawler/spiders/huggingface.py","mode":"100644","sha":"bbfc91bd64d1f26fd419a23b337bd1d11a7a292a","size":991},{"path":"health/crawler/spiders/openml.py","mode":"100644","sha":"85a2ac715767b9bfd470085bed49d171461f1e19","size":707},{"path":"health/croissant-validator-neurips/README.md","mode":"100644","sha":"6cacea9e11d58599dcba37eb728ea6f2bfb08e73","size":779},{"path":"health/croissant-validator-neurips/hf-gradio-app/README.md","mode":"100644","sha":"f29c114cea531cc07266fafb2fcb8f5d19fc3498","size":295},{"path":"health/croissant-validator-neurips/hf-gradio-app/app.py","mode":"100644","sha":"29d36bfae63c277f60788e41c75b95d30aeebe3d","size":20503},{"path":"health/croissant-validator-neurips/hf-gradio-app/requirements.txt","mode":"100644","sha":"0c8a62587df7a42b59d1eebce8ab379899ff24ce","size":205},{"path":"health/croissant-validator-neurips/hf-gradio-app/validation.py","mode":"100644","sha":"2e1a6472b3985baf05ef9bf6017938dc6253a87b","size":3428},{"path":"health/requirements.txt","mode":"100644","sha":"aa1ad03811746807b5edc673e579eff095a4d93a","size":118},{"path":"health/scrapy.cfg","mode":"100644","sha":"a5e8a1f7de531aa9ffee7813b36a53bcf15f544e","size":256},{"path":"health/scrapydweb_settings_v10.py","mode":"100644","sha":"066b48487e527dfb05775a990c4593297c85ff05","size":18094},{"path":"health/visualizer/explorer/README.md","mode":"100644","sha":"2ac71b2b041e13cf240e281eaccf2190b29816c3","size":1043},{"path":"health/visualizer/explorer/croissant_surfer_openml.ipynb","mode":"100644","sha":"c2edf2adc279f2219142e7e5ff5062ce2a135a90","size":11350},{"path":"health/visualizer/report_huggingface.ipynb","mode":"100644","sha":"813076bb7d1e1cbc9c8b13077aa5f119c0bec24c","size":95127},{"path":"health/visualizer/report_openml.ipynb","mode":"100644","sha":"55ad98b7a2e372b537abf1e5ea8e43aefa0a4072","size":99738},{"path":"mkdocs.yml","mode":"100644","sha":"9e9862bbddf3038e1e9792cac57b23514f24d4db","size":3506},{"path":"python/mlcroissant/.flake8","mode":"100644","sha":"44e4f2b5c0ea7b4142d628e3958dc6d46b072942","size":84},{"path":"python/mlcroissant/.pylintrc","mode":"100644","sha":"7027735d0b16da5775458ebdacd847c7f86cd2c8","size":14107},{"path":"python/mlcroissant/Makefile","mode":"100644","sha":"34615b4e75c41ac3b35f7f39fd80b47f615c19bc","size":1077},{"path":"python/mlcroissant/README.md","mode":"100644","sha":"0b63c7f275eb7b2f5a08e74f4318c12f8666f3c6","size":9432},{"path":"python/mlcroissant/mlcroissant/__init__.py","mode":"100644","sha":"619217efd3824b91190f139ab28b161927ed292c","size":1986},{"path":"python/mlcroissant/mlcroissant/_src/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"python/mlcroissant/mlcroissant/_src/beam.py","mode":"100644","sha":"91cdd1df183eb6aae11a7b4be9b0381ac462312c","size":2215},{"path":"python/mlcroissant/mlcroissant/_src/core/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"python/mlcroissant/mlcroissant/_src/core/constants.py","mode":"100644","sha":"8acde7280da2431b415b722ab176cf5696ef4afc","size":11854},{"path":"python/mlcroissant/mlcroissant/_src/core/constants_test.py","mode":"100644","sha":"9de533f65497506f2d5869956fdea0cf011680a1","size":612},{"path":"python/mlcroissant/mlcroissant/_src/core/context.py","mode":"100644","sha":"c63748568144900e87b49038fa3196e9c2cff7e5","size":3879},{"path":"python/mlcroissant/mlcroissant/_src/core/context_test.py","mode":"100644","sha":"74dfc3d745c596177ff944eebd9d2cc0b8846406","size":1673},{"path":"python/mlcroissant/mlcroissant/_src/core/data_types.py","mode":"100644","sha":"5f000d4208070e2bef732aa56395755aaf2be73f","size":2172},{"path":"python/mlcroissant/mlcroissant/_src/core/dataclasses.py","mode":"100644","sha":"d9333de2bed255c7210aff329a1c38c1d1f241b5","size":8728},{"path":"python/mlcroissant/mlcroissant/_src/core/dataclasses_test.py","mode":"100644","sha":"b914615b429cb1480542867a962517a9da192476","size":4283},{"path":"python/mlcroissant/mlcroissant/_src/core/dates.py","mode":"100644","sha":"16645ef047996dfd62a6452e99bf6683c0c33ba7","size":2276},{"path":"python/mlcroissant/mlcroissant/_src/core/dates_test.py","mode":"100644","sha":"11c0af7bb63ad2c355c73a37aa1ea1d65cf92e34","size":2006},{"path":"python/mlcroissant/mlcroissant/_src/core/git.py","mode":"100644","sha":"85f5a9154b414099da02eebb6954e25bf9a5d0a4","size":1616},{"path":"python/mlcroissant/mlcroissant/_src/core/git_test.py","mode":"100644","sha":"611b0a7f2ee2513bb8d0d2b6932eb65f71809fa5","size":1639},{"path":"python/mlcroissant/mlcroissant/_src/core/graphs/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"python/mlcroissant/mlcroissant/_src/core/graphs/utils.py","mode":"100644","sha":"df387ffeeba62a427495a60edda9e3c4fd779b40","size":1025},{"path":"python/mlcroissant/mlcroissant/_src/core/issues.py","mode":"100644","sha":"dfdd5850d0f491ce8e24569ea0b8559111c4c842","size":3037},{"path":"python/mlcroissant/mlcroissant/_src/core/issues_test.py","mode":"100644","sha":"bd4ad323be8a57b833a342b2ac48bab6cd0d1b91","size":1245},{"path":"python/mlcroissant/mlcroissant/_src/core/json_ld.py","mode":"100644","sha":"ce379a4eb981a5a814462682fc25401eadcbeffb","size":12174},{"path":"python/mlcroissant/mlcroissant/_src/core/json_ld_test.py","mode":"100644","sha":"860424046e94a8847de70ef199e931ab76121076","size":3117},{"path":"python/mlcroissant/mlcroissant/_src/core/ml/__init__.py","mode":"100644","sha":"cb2b90bb56f89ed1c038f599a7d9811f259771bb","size":50},{"path":"python/mlcroissant/mlcroissant/_src/core/ml/bounding_box.py","mode":"100644","sha":"f4bc3dc51287f993aa324b8c14fc29cc243b6dc5","size":1245},{"path":"python/mlcroissant/mlcroissant/_src/core/ml/bounding_box_test.py","mode":"100644","sha":"9005ddb79275e0747d2ceba686609700c231fc29","size":656},{"path":"python/mlcroissant/mlcroissant/_src/core/optional.py","mode":"100644","sha":"ced70836e0fa6dd16c6d389bb2aa8ecf35a2deda","size":3664},{"path":"python/mlcroissant/mlcroissant/_src/core/optional_test.py","mode":"100644","sha":"a3f6183d0c5887132a4018fa1e24077caf3fc77b","size":682},{"path":"python/mlcroissant/mlcroissant/_src/core/path.py","mode":"100644","sha":"83fc671230eca3500aabc5371bfa08354cafc0ba","size":1609},{"path":"python/mlcroissant/mlcroissant/_src/core/rdf.py","mode":"100644","sha":"d3072f0eb45418edd4a72f09ff5e90a306dbe77b","size":6146},{"path":"python/mlcroissant/mlcroissant/_src/core/rdf_test.py","mode":"100644","sha":"410d80be54560578ed37195a5c0673435f2b8b51","size":2326},{"path":"python/mlcroissant/mlcroissant/_src/core/regex.py","mode":"100644","sha":"c7ffb3bb64f47ce64d670b0721668bdc3d300623","size":3295},{"path":"python/mlcroissant/mlcroissant/_src/core/regex_test.py","mode":"100644","sha":"c9a46bee73d33aa8bc4b307b825b1fe1156fc5a8","size":1621},{"path":"python/mlcroissant/mlcroissant/_src/core/types.py","mode":"100644","sha":"b864073043344f150a373b93abd0a1faffb54814","size":84},{"path":"python/mlcroissant/mlcroissant/_src/core/url.py","mode":"100644","sha":"5a6bafe4cc7a44a0b149871da5c833b897730862","size":327},{"path":"python/mlcroissant/mlcroissant/_src/core/uuid.py","mode":"100644","sha":"1f17c3c0149c1544398f04270c02f1cece49daf6","size":1699},{"path":"python/mlcroissant/mlcroissant/_src/core/uuid_test.py","mode":"100644","sha":"e2ddbec8e1a5284cd5baee009dc29a919eeebeab","size":1732},{"path":"python/mlcroissant/mlcroissant/_src/core/versions.py","mode":"100644","sha":"1ee30698253e78019d4f28cfa8fde9888a66694a","size":1697},{"path":"python/mlcroissant/mlcroissant/_src/datasets.py","mode":"100644","sha":"eba044b33097bc6a94cb266e0d31dc71ef019b03","size":13709},{"path":"python/mlcroissant/mlcroissant/_src/datasets_nonhermetic_test.py","mode":"100644","sha":"1433c9dbd482c3784e97f6cae3b94b5d6b1053e9","size":4567},{"path":"python/mlcroissant/mlcroissant/_src/datasets_test.py","mode":"100644","sha":"8231e06b1b33935a7202e2d7619f67ffa77bc35f","size":11084},{"path":"python/mlcroissant/mlcroissant/_src/nodes.py","mode":"100644","sha":"e567839dad516ab20316b4b70e9ccbdd8d1b8e12","size":757},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/__init__.py","mode":"100644","sha":"5d3b05d29b6be9dfd462e797fb9724bf40595adc","size":103},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/base_operation.py","mode":"100644","sha":"1777eb0db525a08c9bf0121c1ceb24d72fb374c7","size":8029},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/execute.py","mode":"100644","sha":"e1d02217cf55d1bb548c8da7726cd81001bf06c6","size":12968},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/execute_test.py","mode":"100644","sha":"c7493373f4e6e32c2d389ab34ce2339b90f4ee95","size":3267},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/graph.py","mode":"100644","sha":"be30e85730f55cc0a4ca39222dfd392c0686df39","size":10076},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/graph_test.py","mode":"100644","sha":"94400ed6df889334b7cd096a41131a14f42acf26","size":2834},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/__init__.py","mode":"100644","sha":"9502bdafd17901e450de2c8c142cb795449140db","size":1009},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/concatenate.py","mode":"100644","sha":"deaf505a11b8b0cb8941ec6d6050094aa10c85af","size":974},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/concatenate_test.py","mode":"100644","sha":"b7b5d94d65d47f5e3d86e8731683466ae18e333e","size":390},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/data.py","mode":"100644","sha":"6504f3e7c64b77963af80684121eac8cafc64133","size":566},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/data_test.py","mode":"100644","sha":"e2d6b2a47c4b4ed80bd136a4680eea299f39e443","size":361},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/download.py","mode":"100644","sha":"3f66f31427614fca76d335832f8d4e27d58aa1a3","size":8942},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/download_test.py","mode":"100644","sha":"7b35c7d5f7f363170704673cbd3f0fb8d473a192","size":8212},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/extract.py","mode":"100644","sha":"6987fa559c4a2f41300de9c108b6475536ce0f1c","size":2504},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/extract_test.py","mode":"100644","sha":"195745c1ec83081d6004c5c0db30670a7ee6b575","size":885},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/field.py","mode":"100644","sha":"b97489a28c281eb6d8b3b614ca260c772e8ae704","size":11137},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/field_test.py","mode":"100644","sha":"8c6992658c48ef91b77f183574494e0911eaac60","size":15411},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/filter.py","mode":"100644","sha":"011bd8c688901455566a4464f49ef63096151f29","size":2377},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/filter_test.py","mode":"100644","sha":"9cb94048300b04a38fcee6ea85fb92f76c99539b","size":915},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/init.py","mode":"100644","sha":"376ca9e178820507e3a28d5a53f4a224efb4e09d","size":422},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/init_test.py","mode":"100644","sha":"c062cd998899e8a3558303a53089fbbf50993f90","size":361},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/join.py","mode":"100644","sha":"9373dcdb8d4408dcf245cf01ed8ad811bf1de968","size":3628},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/join_test.py","mode":"100644","sha":"a33d7cf42802cba8190074fdafd54662a8221786","size":361},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/local_directory.py","mode":"100644","sha":"0dc0825229dc0344b10319fb31990b0037e1150c","size":638},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/local_directory_test.py","mode":"100644","sha":"3e8115d67b75ca9ea42e3f14b31d5f55cd8669de","size":477},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/parse_json.py","mode":"100644","sha":"f2a929d826b97cd02d867aaefb94a848be862fb8","size":685},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/parse_json_test.py","mode":"100644","sha":"a026fc32383664a38c614711bf9e27f99f78dc18","size":1092},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/read.py","mode":"100644","sha":"1984d4caef075ed763fae527a4790301b6b7a56b","size":12202},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/read_lines.py","mode":"100644","sha":"7b1c1fe89da3b4c932be25d4f74dcfcad3af8531","size":1097},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/read_lines_test.py","mode":"100644","sha":"24ec031fbf0be9e63dd7d364340969b943eca389","size":2000},{"path":"python/mlcroissant/mlcroissant/_src/operation_graph/operations/read_test.py","mode":"100644","sha":"f653a08c1756bc80efdef995a9d328e4266d01e5","size":8153},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/base_node.py","mode":"100644","sha":"5f7ca478dc2eaf676b33b10c26b9866a90042157","size":22107},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/base_node_test.py","mode":"100644","sha":"1c132f4c9290db082c5c8faf2cd0561c1a2b0960","size":13893},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/graph.py","mode":"100644","sha":"6ff5636e4469d7c768e812bff80f513b2daaea19","size":7801},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/graph_test.py","mode":"100644","sha":"93bda4bcd43bf1a0960f9e6d59c74054d6481c1c","size":1362},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/creative_work.py","mode":"100644","sha":"6f3915e0952b147d9441c387e2c4fa64ecabfc01","size":988},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/croissant_version_test.py","mode":"100644","sha":"899b6fe0461f87101a24f6eebd3a12c1c55474e6","size":1178},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/field.py","mode":"100644","sha":"8504b9c2f6dac6f6bbd902acd5d983b81ba54edf","size":10561},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/field_test.py","mode":"100644","sha":"7ab6a28843baa63ce8f80446c7f4511d49821597","size":5417},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/file_object.py","mode":"100644","sha":"820d3fe6d334dccde77622e14af64cef2d89d151","size":5090},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/file_object_test.py","mode":"100644","sha":"729f960da8f81f565929023da21f4130d512d4ab","size":4561},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/file_set.py","mode":"100644","sha":"c7166e90ba8e9bce634dc46d328f5cc782e8e9b7","size":3596},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/file_set_test.py","mode":"100644","sha":"1fa9b101fa57b1f10d1001897d1f197cb2b9dab3","size":3082},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/metadata.py","mode":"100644","sha":"8f2e598d836efa82afad713453f82298ca41e1f8","size":18483},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/metadata_test.py","mode":"100644","sha":"925308eaa3ad989dbac9a80cab810d29d512b645","size":7791},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/organization.py","mode":"100644","sha":"23e42a34de943b0b8cf2d8f7342cd333ebb5688f","size":1163},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/person.py","mode":"100644","sha":"f35acf68e5510cf0fa576bdd85eaf65c8fc91ec5","size":1139},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/record_set.py","mode":"100644","sha":"fed3394aed421431204bf9ef9979895d867daf87","size":7705},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/record_set_test.py","mode":"100644","sha":"46d82a9ea698d21d03bb3271ad4087d6e000326a","size":5383},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/source.py","mode":"100644","sha":"3f62bb2f81d31c2c61c4b5a344dcd19cef21fb2e","size":13061},{"path":"python/mlcroissant/mlcroissant/_src/structure_graph/nodes/source_test.py","mode":"100644","sha":"5a6d6bc6f41e1b581c9c03f8398afdaa7013204e","size":9819},{"path":"python/mlcroissant/mlcroissant/_src/tests/__init__.py","mode":"100644","sha":"e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","size":0},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_bad_contained_in/metadata.json","mode":"100644","sha":"8ad618e62e998c44711533d44ee729704c3d039a","size":1690},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_bad_contained_in/output.txt","mode":"100644","sha":"81f085e3e8e3ec26222773430cf78d0fc324139b","size":216},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_bad_type/metadata.json","mode":"100644","sha":"239e358a6c62bffd2d8f19690005b07672bc4869","size":1707},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_bad_type/output.txt","mode":"100644","sha":"b442413557840efa4fe5acb8b62d547e560df6ef","size":228},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_missing_encoding_format/metadata.json","mode":"100644","sha":"3d0c723f3e6cdcc09ecb245a7f9f085f48ab1f5f","size":1606},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_missing_encoding_format/output.txt","mode":"100644","sha":"4aff5ca4058c0693f4db851fb72463941a285a53","size":181},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_missing_name/metadata.json","mode":"100644","sha":"337daa30db5c3e82baef53bf2c1f3daee5df25df","size":1620},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_missing_name/output.txt","mode":"100644","sha":"a2e787f427e39e55287b4b38eb60128fc132831d","size":164},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_missing_property_content_url/metadata.json","mode":"100644","sha":"14bc17b4b93bd936deb0df685eed177b3426e3f9","size":1647},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/distribution_missing_property_content_url/output.txt","mode":"100644","sha":"3ec5b73399438632d77a3a6bf99c56c8f31e9a5a","size":181},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/metadata_bad_type/metadata.json","mode":"100644","sha":"95cc7a2b7291e3f2d65c17a6b0d16603858c5396","size":1400},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/metadata_bad_type/output.txt","mode":"100644","sha":"0aa0646edd1bdfda803623604561a0819d515948","size":121},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/metadata_missing_property_name/metadata.json","mode":"100644","sha":"39553a4092b7c0f5ad55d9b922b9c3e54b95be75","size":1374},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/metadata_missing_property_name/output.txt","mode":"100644","sha":"5e8bd4c04ecc4459d7a5d6600948269f746809ff","size":140},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_bad_source/metadata.json","mode":"100644","sha":"489fa14002b1ef69e2f7aba95eb79dc1b53f70d1","size":2144},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_bad_source/output.txt","mode":"100644","sha":"621d62657f8f83eac5732a110ce735e974e32651","size":642},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_bad_type/metadata.json","mode":"100644","sha":"2aa780d0e31877701cdf02d3dcf4bb0f29391f68","size":2190},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_bad_type/output.txt","mode":"100644","sha":"13bcd657a9996663c902e3898828e84c898e8df8","size":186},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_missing_property_name/metadata.json","mode":"100644","sha":"5e01d753cf1c8797f53ba053ccab424a270a1feb","size":2106},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_missing_property_name/output.txt","mode":"100644","sha":"44ad8f1e685893be4804d42515dd88bfa478b108","size":185},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_missing_source/metadata.json","mode":"100644","sha":"c501f43026c89bd3405ed8ffd640be319abeff54","size":2158},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/mlfield_missing_source/output.txt","mode":"100644","sha":"0d0c152b89e99d6bea9bab5da64d8eed91cf6552","size":231},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_bad_type/metadata.json","mode":"100644","sha":"09786986006eb8c649029a0afe378d3fc1dc0e2c","size":2146},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_bad_type/output.txt","mode":"100644","sha":"8a351fffdd6253a9a53c30f7ad874239ec17a765","size":191},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_missing_context_for_datatype/metadata.json","mode":"100644","sha":"8660222c7438bf66a0c88c1a483cce64214ae52f","size":2062},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_missing_context_for_datatype/output.txt","mode":"100644","sha":"fac91e15060d753cdc5ac51f55c59ae0c1e05ad2","size":245},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_missing_property_name/metadata.json","mode":"100644","sha":"c33cb66ccaa502add0bf4a9f5675386267e78682","size":2109},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_missing_property_name/output.txt","mode":"100644","sha":"6a08750e2ac6859776413b6881b93c33efc1015e","size":163},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_wrong_join/metadata.json","mode":"100644","sha":"ee047f2a1cfb416dd97d85a3726737dd52f2182d","size":2811},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/0.8/recordset_wrong_join/output.txt","mode":"100644","sha":"354099013e86039717d12a9ca2e6f91bd157c093","size":334},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_bad_contained_in/metadata.json","mode":"100644","sha":"0a3a0a7ee68d2a0fbc8cf41103b096d6f0a973bf","size":1908},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_bad_contained_in/output.txt","mode":"100644","sha":"81f085e3e8e3ec26222773430cf78d0fc324139b","size":216},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_bad_id/metadata.json","mode":"100644","sha":"0502b9d03402e081c255199435153787bada94d6","size":2483},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_bad_id/output.txt","mode":"100644","sha":"6466475964df02f165c9d29d90e4884e261f28ba","size":581},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_bad_type/metadata.json","mode":"100644","sha":"e0c61f73bb7c7bda81fafcf19284eadb71e98025","size":1900},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_bad_type/output.txt","mode":"100644","sha":"0160c9a1000c9b8c12bdc6e42640bad5ca4070b0","size":252},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_missing_encoding_format/metadata.json","mode":"100644","sha":"ef0540c6d54de92ed24c75c21ceaca55e9a58c85","size":1773},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_missing_encoding_format/output.txt","mode":"100644","sha":"5bc56e2b5199c22d9e3ef27ffb1cc8ea8afe898f","size":349},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_missing_property_content_url/metadata.json","mode":"100644","sha":"9d81f67e0a52a21d24a75f87fb98e91f774facb3","size":1840},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/distribution_missing_property_content_url/output.txt","mode":"100644","sha":"3ec5b73399438632d77a3a6bf99c56c8f31e9a5a","size":181},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/metadata_bad_type/metadata.json","mode":"100644","sha":"6845d7650f9b80c1f4df503963fedcade474344e","size":1565},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/metadata_bad_type/output.txt","mode":"100644","sha":"0aa0646edd1bdfda803623604561a0819d515948","size":121},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/mlfield_bad_source/metadata.json","mode":"100644","sha":"4cfa5954808761508f47b1fa49a151d00f663bfb","size":2418},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/mlfield_bad_source/output.txt","mode":"100644","sha":"9a37f8314a293205e8fa0d30aba866baa605fad8","size":645},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/mlfield_bad_type/metadata.json","mode":"100644","sha":"3f484dbacfa79df08ae0e7f6e3b5df8b10090846","size":2492},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/mlfield_bad_type/output.txt","mode":"100644","sha":"0643e0a841a69706fb24507d689bc24c4a3a226f","size":202},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/mlfield_missing_source/metadata.json","mode":"100644","sha":"b2a8ef17c99dba8992f111ad28a44784d76ea422","size":2460},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/mlfield_missing_source/output.txt","mode":"100644","sha":"39c01e2f4178ad4548db04d73ee527d8509a8fba","size":232},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/recordset_bad_type/metadata.json","mode":"100644","sha":"3758caf94558c781529f547f74c359c4740c2b18","size":2467},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/recordset_bad_type/output.txt","mode":"100644","sha":"5678f8854a32cf094b0ff3d52b48aa6ba9b69c2f","size":362},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/recordset_missing_context_for_datatype/metadata.json","mode":"100644","sha":"01d25f423e80d6ceccaf7913abb049be189495e9","size":2364},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/recordset_missing_context_for_datatype/output.txt","mode":"100644","sha":"9394ef78919b085f59346f8e2094dc59b5aca031","size":248},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/recordset_wrong_join/metadata.json","mode":"100644","sha":"e5679d1a4f24146b49b16e0ce79db166ff381f80","size":3199},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.0/recordset_wrong_join/output.txt","mode":"100644","sha":"354099013e86039717d12a9ca2e6f91bd157c093","size":334},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.1/mlfield_bad_array_definition/metadata.json","mode":"100644","sha":"f8d26eea56e1fa0b63b379f72511fcd59108fafb","size":2584},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.1/mlfield_bad_array_definition/output.txt","mode":"100644","sha":"fe21da8dea6f2a4e6760d71915a69acb68199f64","size":206},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.1/mlfield_bad_array_shape/metadata.json","mode":"100644","sha":"507a67720046b4ea997ebc2e35cb6e92626d3992","size":2611},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.1/mlfield_bad_array_shape/output.txt","mode":"100644","sha":"4042507058fb81fcae88033057d1c5711a10f14f","size":245},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.1/multilingual_fields/metadata.json","mode":"100644","sha":"cc4cff8ab65f35b4fa6fb9ddae51a7f465bfe8f9","size":3972},{"path":"python/mlcroissant/mlcroissant/_src/tests/graphs/1.1/multilingual_fields/output.txt","mode":"100644","sha":"55fc42be82ca4732d7c934668a88afb38a5142c6","size":270},{"path":"python/mlcroissant/mlcroissant/_src/tests/nodes.py","mode":"100644","sha":"6370b3d0a4c2d36d5fc6f238484ac801813fb1f6","size":3136},{"path":"python/mlcroissant/mlcroissant/_src/tests/operations.py","mode":"100644","sha":"1209e44ec60632710ee9bff046e740d10eee98b4","size":227},{"path":"python/mlcroissant/mlcroissant/_src/tests/records.py","mode":"100644","sha":"c33a12287353a3886df605d20da2dd2caee414d7","size":1556},{"path":"python/mlcroissant/mlcroissant/_src/tests/records_test.py","mode":"100644","sha":"2a3df72eed4e8f08f9e9f313191f90c50df35399","size":772},{"path":"python/mlcroissant/mlcroissant/_src/tests/versions.py","mode":"100644","sha":"75f33a85b646f41ebfd895ce1ba5bf2fd9e1b180","size":370},{"path":"python/mlcroissant/mlcroissant/_src/torch/__init__.py","mode":"100644","sha":"e4195ec0da2c69a90c52c27d9b19b1d1d26fb126","size":237},{"path":"python/mlcroissant/mlcroissant/_src/torch/torch_adapter/__init__.py","mode":"100644","sha":"ad072d1348e10ba2bf8829a2a9c8783308ec702c","size":266},{"path":"python/mlcroissant/mlcroissant/_src/torch/torch_adapter/dataloader.py","mode":"100644","sha":"43c5571c113734a608acb67b413f0ef8580f8305","size":2560},{"path":"python/mlcroissant/mlcroissant/_src/torch/torch_adapter/dataloader_test.py","mode":"100644","sha":"8af87ce9bea5077962a8d872b497d64e914f1c2b","size":991},{"path":"python/mlcroissant/mlcroissant/scripts/__init__.py","mode":"100644","sha":"d56eb86cbacfbf837a6fd137da135346e366ba0e","size":45},{"path":"python/mlcroissant/mlcroissant/scripts/cli.py","mode":"100644","sha":"ae585e35f918f651508a345e72088528fd6caa15","size":738},{"path":"python/mlcroissant/mlcroissant/scripts/documentation.py","mode":"100644","sha":"4e7339f1ae1aec0f56700dabc1fc4589f704fd1d","size":2997},{"path":"python/mlcroissant/mlcroissant/scripts/load.py","mode":"100644","sha":"06849b22fd28a6d274df59a602a321220274ecbc","size":4306},{"path":"python/mlcroissant/mlcroissant/scripts/load_test.py","mode":"100644","sha":"11348390c9c464fc163b147166ebd9b8ca9179ef","size":908},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/__init__.py","mode":"100644","sha":"3ff11b6d47a805b6d04b3e748f59609bf9d1c8b6","size":67},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/migrate.py","mode":"100644","sha":"17c102683157555779fd7b389c3ea43032a7a87e","size":5538},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202302061400.py","mode":"100644","sha":"ea93c8e0ad990ab8dc0b04d619eddd6d80369bdd","size":257},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202307171508.py","mode":"100644","sha":"18c66ddc1ac6c7a331a13de3f32966a8ad8165a1","size":4161},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202307201041.py","mode":"100644","sha":"09c296553143d02af5e311394e27df02a785408a","size":1005},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202308312000.py","mode":"100644","sha":"a9159a614b6a3f218caabf0db94fc4a5bed1c473","size":1729},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202309061700.py","mode":"100644","sha":"13cbfa7e254235a1c23a0504de76bd3ef4163f1b","size":1453},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202312062353.py","mode":"100644","sha":"537a7fbdf171e714b3922aba2b69e125e85715a3","size":1327},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202402011100.py","mode":"100644","sha":"9a48d4b9bf708e798d4b9ae0d8a4374dc5122e8c","size":272},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202402020202.py","mode":"100644","sha":"d396ea9217e61e2e01588513a960b219e2ccc7d1","size":379},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202402051000.py","mode":"100644","sha":"6eb441f9367bdd509db5804edf3b8416f357a6dd","size":528},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202402201330.py","mode":"100644","sha":"5f8c57645c388fccf2ea73286dd86424176fe16e","size":3806},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202403270859.py","mode":"100644","sha":"3a0917779330a82aa5eee08d282a4f997b091e6b","size":345},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202403271030.py","mode":"100644","sha":"d34141ed08b27ea9f071839bbf1dbf972bee64ac","size":129},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202409231500.py","mode":"100644","sha":"e9240b51700b46dc43db4e1d9680d527bb3dccfd","size":583},{"path":"python/mlcroissant/mlcroissant/scripts/migrations/previous/202429011700.py","mode":"100644","sha":"d956aa5569dd8b18b78bd6e573911e21a30e9067","size":1972},{"path":"python/mlcroissant/mlcroissant/scripts/static/gallery.css","mode":"100644","sha":"9277287660e96e603654c84b938e43a5947c8724","size":11328},{"path":"python/mlcroissant/mlcroissant/scripts/static/gallery.js","mode":"100644","sha":"d14985c389a4b14d5a0c07ec375bc18a2da4193f","size":14699},{"path":"python/mlcroissant/mlcroissant/scripts/static/visualizer.css","mode":"100644","sha":"51b2cb4beb82b5b8d90421eabdde534fe696958f","size":21148},{"path":"python/mlcroissant/mlcroissant/scripts/static/visualizer.js","mode":"100644","sha":"bf0a5ea184d6230ac770f1c1fd0da821e956ba61","size":36830},{"path":"python/mlcroissant/mlcroissant/scripts/templates/gallery.html","mode":"100644","sha":"6ca335f858cd59e3c24877d60484ae2add136002","size":854},{"path":"python/mlcroissant/mlcroissant/scripts/templates/node.html","mode":"100644","sha":"c3f77980bd06340e9d533d5c74f55774917d73c3","size":1614},{"path":"python/mlcroissant/mlcroissant/scripts/templates/visualizer.html","mode":"100644","sha":"116727cdda9d7a59a67df96d1b71724204f52146","size":1367},{"path":"python/mlcroissant/mlcroissant/scripts/validate.py","mode":"100644","sha":"21e227cb26a317d17982182bfe179459d7538fc3","size":1118},{"path":"python/mlcroissant/mlcroissant/scripts/visualize.py","mode":"100644","sha":"9fe6327dcd194702b8d50ebbefb0e46f221a4687","size":1713},{"path":"python/mlcroissant/mlcroissant/scripts/visualize_all.py","mode":"100644","sha":"6074bb0cd667453a64b7ba1e2291837b08b82b3a","size":13087},{"path":"python/mlcroissant/mlcroissant/scripts/visualize_utils.py","mode":"100644","sha":"30116411af0352e02f0fc8fa1c2f9df798d167a1","size":22731},{"path":"python/mlcroissant/pyproject.toml","mode":"100644","sha":"63a2876325452830b845405a08c883ac446dbfe8","size":3055},{"path":"python/mlcroissant/recipes/bounding-boxes.ipynb","mode":"100644","sha":"5059ccfb3671080c08bb95980f4ba6e6f36059f4","size":7462},{"path":"python/mlcroissant/recipes/flores200_datapipes.ipynb","mode":"100644","sha":"d7451570bb7cf733131abf565b16984c5e2595ae","size":32553},{"path":"python/mlcroissant/recipes/introduction.ipynb","mode":"100644","sha":"6f598fda3210e7b4eae91d0fb71ef3ddcd7933b7","size":12658},{"path":"python/mlcroissant/recipes/tfds_croissant_builder.ipynb","mode":"100644","sha":"d7c1edaba46793c8d7e584c4f8134b5c00548913","size":58491},{"path":"requirements.txt","mode":"100644","sha":"aeb4c07269359bda002b91939d032b69a6436abb","size":107},{"path":"tasks/README.md","mode":"100644","sha":"2b66528c69dbd4050cebe1175f531e6f31d36eeb","size":5363},{"path":"tasks/__init__.py","mode":"100644","sha":"746e424d386317d20fc5052d1e3c98f76730380b","size":31},{"path":"tasks/croissant-tasks-shapes.ttl","mode":"100644","sha":"de3f4498c307099313a0a447743214f712f0ac9b","size":9595},{"path":"tasks/croissant-tasks.ttl","mode":"100644","sha":"cabbcdefe97853bc23022f952acabb3a71953fa4","size":8251},{"path":"tasks/docs/e3_croissant_tasks_integration.md","mode":"100644","sha":"2e0620e8f0729ca76bc600c6b1ccc9ae1a9125c1","size":30991},{"path":"tasks/examples/every_eval_ever/index.html","mode":"100644","sha":"1d8afee30aa9fe7fc4a7c0a24df2c23f5a381404","size":153398},{"path":"tasks/examples/every_eval_ever/intercode_ctf_agentic_task.jsonld","mode":"100644","sha":"8c7087a9c23760a90cbf95b40a859bf6e618a68e","size":14093},{"path":"tasks/examples/every_eval_ever/mmlu_pro_combined_task.jsonld","mode":"100644","sha":"3a861dec4d93f82463aaf8e47b1720cd961d0313","size":12432},{"path":"tasks/examples/every_eval_ever/mmlu_pro_problem.jsonld","mode":"100644","sha":"7e00b2d6d78db9cd933ee809ccffebc12ca50db0","size":13238},{"path":"tasks/examples/every_eval_ever/mmlu_pro_solution_kimi_k2.jsonld","mode":"100644","sha":"1ff43fd792f397f4da2be5e125500523b73f8a7f","size":8010},{"path":"tasks/examples/every_eval_ever/simpleqa_llm_judge_task.jsonld","mode":"100644","sha":"3f25f7d3447dd9a9a3581fa68f9943c8340e5e75","size":12998},{"path":"tasks/examples/every_eval_ever/vectara_hallucination_task.jsonld","mode":"100644","sha":"6dadae23d4f909cc1ff6f091c4fc90d9bc0a7f7c","size":12142},{"path":"tasks/index.html","mode":"100644","sha":"1d8afee30aa9fe7fc4a7c0a24df2c23f5a381404","size":153398},{"path":"tasks/pyproject.toml","mode":"100644","sha":"2dfbfb14d4d741f934df04e284413f7d03dfd974","size":488},{"path":"tasks/testdata/direct_task.jsonld","mode":"100644","sha":"6d2f1487c148e8bcbb54e9428ff194aec422730c","size":529},{"path":"tasks/testdata/invalid_problem_no_spec.jsonld","mode":"100644","sha":"ebef26c519ef9a4038cf3d18ac949ed10f9e9eee","size":540},{"path":"tasks/testdata/invalid_problem_with_concrete_execution.jsonld","mode":"100644","sha":"5a786cdd19c2c9a420a1c9a589f4f26e4b01534d","size":542},{"path":"tasks/testdata/invalid_solution_no_is_based_on.jsonld","mode":"100644","sha":"db9f44e29257cc3d1b6964559d26198d9c20571a","size":437},{"path":"tasks/testdata/invalid_solution_subtasks_no_concrete_implementation.jsonld","mode":"100644","sha":"da7fe2dd69dc3894086878fd607931104c449189","size":785},{"path":"tasks/testdata/invalid_solution_with_evaluation_spec.jsonld","mode":"100644","sha":"d923e1efbc0d325dea947eb9d9c46ddd3420129f","size":650},{"path":"tasks/testdata/invalid_solution_with_spec.jsonld","mode":"100644","sha":"15a95acb51650f0d85455f48aa9b53118d06a36a","size":500},{"path":"tasks/testdata/valid_evaluation_task.jsonld","mode":"100644","sha":"dc4e22031029d23eec0521bfc33d94ddc59ba745","size":821},{"path":"tasks/testdata/valid_problem.jsonld","mode":"100644","sha":"7cc7ff48e7eeffccb8d6d2e8ff7bd73872e9d1bb","size":518},{"path":"tasks/testdata/valid_problem_with_evaluation_spec.jsonld","mode":"100644","sha":"fefdd8c663041771057ddf5cf8488bda0f407b48","size":545},{"path":"tasks/testdata/valid_problem_with_execution_spec.jsonld","mode":"100644","sha":"02a137593231fde79bd90bb908fe36bc67ac1ef7","size":541},{"path":"tasks/testdata/valid_solution.jsonld","mode":"100644","sha":"4b12e84c88c88b23473baf2b69329dd1f8d4e137","size":509},{"path":"tasks/testdata/valid_solution_subtasks_all_concrete.jsonld","mode":"100644","sha":"66dd24eabde36b0d68f7310196000659126d261b","size":785},{"path":"tasks/validator.py","mode":"100644","sha":"0de3a76a2723e6695f209105dc4247864a847454","size":972},{"path":"tasks/validator_test.py","mode":"100644","sha":"76135b1714d207ee493f832a11aff9eec36a75ca","size":5158}]}