Datasets:

ArXiv:
License:
albertvillanova HF staff commited on
Commit
a476625
1 Parent(s): c788cd7

Delete legacy dataset_infos.json

Browse files
Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"en": {"description": "The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com.\nAll copyrights of the data belong to healthcaremagic.com and icliniq.com.\n", "citation": "@article{chen2020meddiag,\n title={MedDialog: a large-scale medical dialogue dataset},\n author={Chen, Shu and Ju, Zeqian and Dong, Xiangyu and Fang, Hongchao and Wang, Sicheng and Yang, Yue and Zeng, Jiaqi and Zhang, Ruisi and Zhang, Ruoyu and Zhou, Meng and Zhu, Penghui and Xie, Pengtao},\n journal={arXiv preprint arXiv:2004.03329},\n year={2020}\n}\n", "homepage": "https://github.com/UCSD-AI4H/Medical-Dialogue-System", "license": "", "features": {"file_name": {"dtype": "string", "id": null, "_type": "Value"}, "dialogue_id": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue_url": {"dtype": "string", "id": null, "_type": "Value"}, "dialogue_turns": {"feature": {"speaker": {"num_classes": 2, "names": ["Patient", "Doctor"], "id": null, "_type": "ClassLabel"}, "utterance": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "medical_dialog", "config_name": "en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 290274759, "num_examples": 229674, "dataset_name": "medical_dialog"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 290274759, "size_in_bytes": 290274759}, "zh": {"description": "The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com.\nAll copyrights of the data belong to healthcaremagic.com and icliniq.com.\n", "citation": "@article{chen2020meddiag,\n title={MedDialog: a large-scale medical dialogue dataset},\n author={Chen, Shu and Ju, Zeqian and Dong, Xiangyu and Fang, Hongchao and Wang, Sicheng and Yang, Yue and Zeng, Jiaqi and Zhang, Ruisi and Zhang, Ruoyu and Zhou, Meng and Zhu, Penghui and Xie, Pengtao},\n journal={arXiv preprint arXiv:2004.03329},\n year={2020}\n}\n", "homepage": "https://github.com/UCSD-AI4H/Medical-Dialogue-System", "license": "", "features": {"file_name": {"dtype": "string", "id": null, "_type": "Value"}, "dialogue_id": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue_url": {"dtype": "string", "id": null, "_type": "Value"}, "dialogue_turns": {"feature": {"speaker": {"num_classes": 2, "names": ["\u75c5\u4eba", "\u533b\u751f"], "id": null, "_type": "ClassLabel"}, "utterance": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "medical_dialog", "config_name": "zh", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1092063621, "num_examples": 1921127, "dataset_name": "medical_dialog"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 1092063621, "size_in_bytes": 1092063621}, "processed.en": {"description": "The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com.\nAll copyrights of the data belong to healthcaremagic.com and icliniq.com.\n", "citation": "@article{chen2020meddiag,\n title={MedDialog: a large-scale medical dialogue dataset},\n author={Chen, Shu and Ju, Zeqian and Dong, Xiangyu and Fang, Hongchao and Wang, Sicheng and Yang, Yue and Zeng, Jiaqi and Zhang, Ruisi and Zhang, Ruoyu and Zhou, Meng and Zhu, Penghui and Xie, Pengtao},\n journal={arXiv preprint arXiv:2004.03329},\n year={2020}\n}\n", "homepage": "https://github.com/UCSD-AI4H/Medical-Dialogue-System", "license": "Copyright", "features": {"description": {"dtype": "string", "id": null, "_type": "Value"}, "utterances": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "medical_dialog", "config_name": "processed.en", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 370745, "num_examples": 482, "dataset_name": "medical_dialog"}, "validation": {"name": "validation", "num_bytes": 52145, "num_examples": 60, "dataset_name": "medical_dialog"}, "test": {"name": "test", "num_bytes": 46514, "num_examples": 61, "dataset_name": "medical_dialog"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1ria4E6IdTIPsikL4Glm3uy1tFKJKw0W8": {"num_bytes": 414490, "checksum": "568a9c6c670502eec3319c78e9d12c0aebb883c0d1e45095b5dd5f99d8b6b874"}, "https://drive.google.com/uc?export=download&id=1KAZneuwdfEVQQM6euCX4pMDP-9DQpiB5": {"num_bytes": 57706, "checksum": "a5cd29f17fcfedf01af41410e12e47474ba1176f376136e18fc0446b7e2f52b2"}, "https://drive.google.com/uc?export=download&id=10izqL71kcgnteYsf87Vh6j_mZ8sZM2Rc": {"num_bytes": 52018, "checksum": "316e5b3eb03ec7210b0d84414df0e84a42b396205d72a2b5fdba533fd19a5ebd"}}, "download_size": 524214, "post_processing_size": null, "dataset_size": 469404, "size_in_bytes": 993618}, "processed.zh": {"description": "The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com.\nAll copyrights of the data belong to healthcaremagic.com and icliniq.com.\n", "citation": "@article{chen2020meddiag,\n title={MedDialog: a large-scale medical dialogue dataset},\n author={Chen, Shu and Ju, Zeqian and Dong, Xiangyu and Fang, Hongchao and Wang, Sicheng and Yang, Yue and Zeng, Jiaqi and Zhang, Ruisi and Zhang, Ruoyu and Zhou, Meng and Zhu, Penghui and Xie, Pengtao},\n journal={arXiv preprint arXiv:2004.03329},\n year={2020}\n}\n", "homepage": "https://github.com/UCSD-AI4H/Medical-Dialogue-System", "license": "Copyright", "features": {"utterances": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "medical_dialog", "config_name": "processed.zh", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1571262099, "num_examples": 2725989, "dataset_name": "medical_dialog"}, "validation": {"name": "validation", "num_bytes": 197117565, "num_examples": 340748, "dataset_name": "medical_dialog"}, "test": {"name": "test", "num_bytes": 196526738, "num_examples": 340754, "dataset_name": "medical_dialog"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1AaDJoHaiHAwEZwtskRH8oL1UP4FRgmgx": {"num_bytes": 1665206303, "checksum": "fd34385487755d95783cf834921bff14ceb74d9a244962577140c9e291dce4e9"}, "https://drive.google.com/uc?export=download&id=1TvfZCmQqP1kURIfEinOcj5VOPelTuGwI": {"num_bytes": 208871784, "checksum": "ed6b04ff4d62a4fa5b5b85327d692302b3369c0d28e9da887c12ec78ea778ce4"}, "https://drive.google.com/uc?export=download&id=1pmmG95Yl6mMXRXDDSRb9-bYTxOE7ank5": {"num_bytes": 208276068, "checksum": "b1118b614f866089a1daf18107a72dd5ba77c50a1e9ca145491ddcef89d797b7"}}, "download_size": 2082354155, "post_processing_size": null, "dataset_size": 1964906402, "size_in_bytes": 4047260557}}