albertvillanova HF staff commited on
Commit
0f8114e
1 Parent(s): b5d54f8

Delete legacy JSON metadata (#7)

Browse files

- Delete legacy JSON metadata (4a136ed0143cbe8f18c2b08dbfa327fa4ec7472e)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"de": {"description": "We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.\nObtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.\nTogether with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.\nWe report cross-lingual comparative analyses based on state-of-the-art systems.\nThese highlight existing biases which motivate the use of a multi-lingual dataset.\n", "citation": "@article{scialom2020mlsum,\n title={MLSUM: The Multilingual Summarization Corpus},\n author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},\n journal={arXiv preprint arXiv:2004.14900},\n year={2020}\n}\n", "homepage": "", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mlsum", "config_name": "de", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 846959840, "num_examples": 220887, "dataset_name": "mlsum"}, "validation": {"name": "validation", "num_bytes": 47119541, "num_examples": 11394, "dataset_name": "mlsum"}, "test": {"name": "test", "num_bytes": 46847612, "num_examples": 10701, "dataset_name": "mlsum"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_train.jsonl": {"num_bytes": 905470695, "checksum": "989ba44a56faa347d235a9e78877ed1376696012fedd880e1319d0dc484eab92"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_val.jsonl": {"num_bytes": 50325428, "checksum": "1adf4d0417e24ac06270bc433fae59b419c903cf8f261cf9df58ccac9cd64ab7"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_test.jsonl": {"num_bytes": 50018031, "checksum": "cc50a14c672d677a5571c2a3997dd25f8e389952fd8d4edeedb204578574f758"}}, "download_size": 1005814154, "post_processing_size": null, "dataset_size": 940926993, "size_in_bytes": 1946741147}, "es": {"description": "We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.\nObtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.\nTogether with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.\nWe report cross-lingual comparative analyses based on state-of-the-art systems.\nThese highlight existing biases which motivate the use of a multi-lingual dataset.\n", "citation": "@article{scialom2020mlsum,\n title={MLSUM: The Multilingual Summarization Corpus},\n author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},\n journal={arXiv preprint arXiv:2004.14900},\n year={2020}\n}\n", "homepage": "", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mlsum", "config_name": "es", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1214558302, "num_examples": 266367, "dataset_name": "mlsum"}, "validation": {"name": "validation", "num_bytes": 50643400, "num_examples": 10358, "dataset_name": "mlsum"}, "test": {"name": "test", "num_bytes": 71263665, "num_examples": 13920, "dataset_name": "mlsum"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_train.jsonl": {"num_bytes": 1323607428, "checksum": "416352aae3fb03e91ab2f0ffad78dc12008221344650780c45c9420cc965bc76"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_val.jsonl": {"num_bytes": 55106773, "checksum": "d869bd630943edaf17091ae042804066ae4f6acec2a91cfa57b3ef58c04d89fe"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_test.jsonl": {"num_bytes": 77496953, "checksum": "3d79b32b1abb84df7efb7a908ca072e6095b33a975204693812918a7b5440bcd"}}, "download_size": 1456211154, "post_processing_size": null, "dataset_size": 1336465367, "size_in_bytes": 2792676521}, "fr": {"description": "We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.\nObtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.\nTogether with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.\nWe report cross-lingual comparative analyses based on state-of-the-art systems.\nThese highlight existing biases which motivate the use of a multi-lingual dataset.\n", "citation": "@article{scialom2020mlsum,\n title={MLSUM: The Multilingual Summarization Corpus},\n author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},\n journal={arXiv preprint arXiv:2004.14900},\n year={2020}\n}\n", "homepage": "", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mlsum", "config_name": "fr", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1471965014, "num_examples": 392902, "dataset_name": "mlsum"}, "validation": {"name": "validation", "num_bytes": 70413212, "num_examples": 16059, "dataset_name": "mlsum"}, "test": {"name": "test", "num_bytes": 69660288, "num_examples": 15828, "dataset_name": "mlsum"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/fr_train.jsonl": {"num_bytes": 1686967395, "checksum": "bd2df28b3df5e6152ac87772789e9e5c5d65c6a3bcd8f3c753d823e18f1ac10f"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/fr_val.jsonl": {"num_bytes": 81755034, "checksum": "7b3f0f8666b318de4974b6ea62d2cb8b123e2ed927a6c7e54ae582313724d7a2"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/fr_test.jsonl": {"num_bytes": 80843135, "checksum": "07b9495357ce92d386cbff57aef6140befbedbc8137334c0a3b3d6d89d2ee3e2"}}, "download_size": 1849565564, "post_processing_size": null, "dataset_size": 1612038514, "size_in_bytes": 3461604078}, "ru": {"description": "We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.\nObtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.\nTogether with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.\nWe report cross-lingual comparative analyses based on state-of-the-art systems.\nThese highlight existing biases which motivate the use of a multi-lingual dataset.\n", "citation": "@article{scialom2020mlsum,\n title={MLSUM: The Multilingual Summarization Corpus},\n author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},\n journal={arXiv preprint arXiv:2004.14900},\n year={2020}\n}\n", "homepage": "", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mlsum", "config_name": "ru", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 257389497, "num_examples": 25556, "dataset_name": "mlsum"}, "validation": {"name": "validation", "num_bytes": 9128497, "num_examples": 750, "dataset_name": "mlsum"}, "test": {"name": "test", "num_bytes": 9656398, "num_examples": 757, "dataset_name": "mlsum"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/ru_train.jsonl": {"num_bytes": 714056813, "checksum": "f5073d94688405b5b0079e81d5e729e54184025e1cc8b9775258f27e62d92bcf"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/ru_val.jsonl": {"num_bytes": 25345347, "checksum": "c19c30f75e9830f5026905d6e67b046e13b3bb7210dc15254c3fed5ef4c32424"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/ru_test.jsonl": {"num_bytes": 26823947, "checksum": "19e64d27a555605a75f774492f6525d65fa259db37af0fead8d4eb614d289e68"}}, "download_size": 766226107, "post_processing_size": null, "dataset_size": 276174392, "size_in_bytes": 1042400499}, "tu": {"description": "We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.\nObtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.\nTogether with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.\nWe report cross-lingual comparative analyses based on state-of-the-art systems.\nThese highlight existing biases which motivate the use of a multi-lingual dataset.\n", "citation": "@article{scialom2020mlsum,\n title={MLSUM: The Multilingual Summarization Corpus},\n author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},\n journal={arXiv preprint arXiv:2004.14900},\n year={2020}\n}\n", "homepage": "", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mlsum", "config_name": "tu", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 641622783, "num_examples": 249277, "dataset_name": "mlsum"}, "validation": {"name": "validation", "num_bytes": 25530661, "num_examples": 11565, "dataset_name": "mlsum"}, "test": {"name": "test", "num_bytes": 27830212, "num_examples": 12775, "dataset_name": "mlsum"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/tu_train.jsonl": {"num_bytes": 870364512, "checksum": "51c4d951b147e62d9f725e59d2dbfefee33387e246cf8490ce827c98c6ca9489"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/tu_val.jsonl": {"num_bytes": 34390982, "checksum": "d353e88d0875c6a8245f30c3920a9ce43d5e7b03cc2a77a45cf1b8f37a97161c"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/tu_test.jsonl": {"num_bytes": 37553466, "checksum": "43eed825edc1799b482885f862162a4349dcc3739fe2b407a5259ba6dc6c2344"}}, "download_size": 942308960, "post_processing_size": null, "dataset_size": 694983656, "size_in_bytes": 1637292616}}