Datasets:

silver
/

personal_dialog

{"default": {"description": "The PersonalDialog dataset is a large-scale multi-turn Chinese dialogue dataset containing various traits from a large number of speakers. \nWe are releasing about 5M sessions of carefully filtered dialogues.\nEach utterance in PersonalDialog is associated with a speaker marked with traits like Gender, Location, Interest Tags. \n", "citation": "@article{zheng2019personalized,\n title = {Personalized dialogue generation with diversified traits},\n author = {Zheng, Yinhe and Chen, Guanyi and Huang, Minlie and Liu, Song and Zhu, Xuan},\n journal = {arXiv preprint arXiv:1901.09672},\n year = {2019}\n}\n\n@inproceedings{zheng2020pre,\n title = {A pre-training based personalized dialogue generation model with persona-sparse data},\n author = {Zheng, Yinhe and Zhang, Rongsheng and Huang, Minlie and Mao, Xiaoxi},\n booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},\n volume = {34},\n number = {05},\n pages = {9693--9700},\n year = {2020}\n}\n", "homepage": "https://github.com/silverriver/PersonalDilaog", "license": "MIT", "features": {"dialog": [{"dtype": "string", "id": null, "_type": "Value"}], "profile": [{"tag": [{"dtype": "string", "id": null, "_type": "Value"}], "loc": {"dtype": "string", "id": null, "_type": "Value"}, "gender": {"dtype": "string", "id": null, "_type": "Value"}}], "uid": [{"dtype": "int32", "id": null, "_type": "Value"}], "responder_profile": {"tag": [{"dtype": "string", "id": null, "_type": "Value"}], "loc": {"dtype": "string", "id": null, "_type": "Value"}, "gender": {"dtype": "string", "id": null, "_type": "Value"}}, "golden_response": {"dtype": "string", "id": null, "_type": "Value"}, "is_biased": {"dtype": "bool", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "personal_dialog", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1659592284, "num_examples": 5438165, "dataset_name": "personal_dialog"}, "validation": {"name": "validation", "num_bytes": 5395032, "num_examples": 10521, "dataset_name": "personal_dialog"}, "test": {"name": "test", "num_bytes": 5412543, "num_examples": 10523, "dataset_name": "personal_dialog"}}, "download_checksums": {"https://huggingface.co/datasets/silver/personal_dialog/resolve/main/dialogues_train.jsonl.gz": {"num_bytes": 558585860, "checksum": "9af400265fda0e7adc9c11a04d343a1b6214a95f07b2911c61cb41f37740195e"}, "https://huggingface.co/datasets/silver/personal_dialog/resolve/main/dev_biased.jsonl.gz": {"num_bytes": 53463, "checksum": "f911aa17eaf8fabc4a093b77949779498d0008480c18320e559eb4df9b97e43f"}, "https://huggingface.co/datasets/silver/personal_dialog/resolve/main/dev_random.jsonl.gz": {"num_bytes": 1634800, "checksum": "0bcbb157125a522c68a0a73d7cfe0e518c5a12c2870bee470543a726cdf48d7f"}, "https://huggingface.co/datasets/silver/personal_dialog/resolve/main/test_biased.jsonl.gz": {"num_bytes": 52719, "checksum": "8da28b2aad57b226390410c48485b9c58faddde80aaa0f68a845f7d4797eac84"}, "https://huggingface.co/datasets/silver/personal_dialog/resolve/main/test_random.jsonl.gz": {"num_bytes": 1639580, "checksum": "b57746e599c888a025c81a870e49971f34d983de424861b6c07586f0c0eec330"}}, "download_size": 561966422, "post_processing_size": null, "dataset_size": 1670399859, "size_in_bytes": 2232366281}}