Datasets:
mdd

- {"task1_qa": {"description": "The Movie Dialog dataset (MDD) is designed to measure how well\nmodels can perform at goal and non-goal orientated dialog\ncentered around the topic of movies (question answering,\nrecommendation and discussion).\n\n", "citation": "@misc{dodge2016evaluating,\n title={Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems},\n author={Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston},\n year={2016},\n eprint={1511.06931},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://research.fb.com/downloads/babi/", "license": "Creative Commons Attribution 3.0 License", "features": {"dialogue_turns": {"feature": {"speaker": {"dtype": "int32", "id": null, "_type": "Value"}, "utterance": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "mdd", "config_name": "task1_qa", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8621120, "num_examples": 96185, "dataset_name": "mdd"}, "test": {"name": "test", "num_bytes": 894590, "num_examples": 9952, "dataset_name": "mdd"}, "validation": {"name": "validation", "num_bytes": 892540, "num_examples": 9968, "dataset_name": "mdd"}}, "download_checksums": {"http://www.thespermwhale.com/jaseweston/babi/movie_dialog_dataset.tgz": {"num_bytes": 135614957, "checksum": "59194c0ac331e2672a68f152a86571be79bde3938bb6ace3eecba7df1a06a23f"}}, "download_size": 135614957, "post_processing_size": null, "dataset_size": 10408250, "size_in_bytes": 146023207}, "task2_recs": {"description": "The Movie Dialog dataset (MDD) is designed to measure how well\nmodels can perform at goal and non-goal orientated dialog\ncentered around the topic of movies (question answering,\nrecommendation and discussion).\n\n", "citation": "@misc{dodge2016evaluating,\n title={Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems},\n author={Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston},\n year={2016},\n eprint={1511.06931},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://research.fb.com/downloads/babi/", "license": "Creative Commons Attribution 3.0 License", "features": {"dialogue_turns": {"feature": {"speaker": {"dtype": "int32", "id": null, "_type": "Value"}, "utterance": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "mdd", "config_name": "task2_recs", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 205936579, "num_examples": 1000000, "dataset_name": "mdd"}, "test": {"name": "test", "num_bytes": 2064509, "num_examples": 10000, "dataset_name": "mdd"}, "validation": {"name": "validation", "num_bytes": 2057290, "num_examples": 10000, "dataset_name": "mdd"}}, "download_checksums": {"http://www.thespermwhale.com/jaseweston/babi/movie_dialog_dataset.tgz": {"num_bytes": 135614957, "checksum": "59194c0ac331e2672a68f152a86571be79bde3938bb6ace3eecba7df1a06a23f"}}, "download_size": 135614957, "post_processing_size": null, "dataset_size": 210058378, "size_in_bytes": 345673335}, "task3_qarecs": {"description": "The Movie Dialog dataset (MDD) is designed to measure how well\nmodels can perform at goal and non-goal orientated dialog\ncentered around the topic of movies (question answering,\nrecommendation and discussion).\n\n", "citation": "@misc{dodge2016evaluating,\n title={Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems},\n author={Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston},\n year={2016},\n eprint={1511.06931},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://research.fb.com/downloads/babi/", "license": "Creative Commons Attribution 3.0 License", "features": {"dialogue_turns": {"feature": {"speaker": {"dtype": "int32", "id": null, "_type": "Value"}, "utterance": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "mdd", "config_name": "task3_qarecs", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 356789364, "num_examples": 952125, "dataset_name": "mdd"}, "test": {"name": "test", "num_bytes": 1730291, "num_examples": 4915, "dataset_name": "mdd"}, "validation": {"name": "validation", "num_bytes": 1776506, "num_examples": 5052, "dataset_name": "mdd"}}, "download_checksums": {"http://www.thespermwhale.com/jaseweston/babi/movie_dialog_dataset.tgz": {"num_bytes": 135614957, "checksum": "59194c0ac331e2672a68f152a86571be79bde3938bb6ace3eecba7df1a06a23f"}}, "download_size": 135614957, "post_processing_size": null, "dataset_size": 360296161, "size_in_bytes": 495911118}, "task4_reddit": {"description": "The Movie Dialog dataset (MDD) is designed to measure how well\nmodels can perform at goal and non-goal orientated dialog\ncentered around the topic of movies (question answering,\nrecommendation and discussion).\n\n", "citation": "@misc{dodge2016evaluating,\n title={Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems},\n author={Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston},\n year={2016},\n eprint={1511.06931},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://research.fb.com/downloads/babi/", "license": "Creative Commons Attribution 3.0 License", "features": {"dialogue_turns": {"feature": {"speaker": {"dtype": "int32", "id": null, "_type": "Value"}, "utterance": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "mdd", "config_name": "task4_reddit", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 497864160, "num_examples": 945198, "dataset_name": "mdd"}, "test": {"name": "test", "num_bytes": 5220295, "num_examples": 10000, "dataset_name": "mdd"}, "validation": {"name": "validation", "num_bytes": 5372702, "num_examples": 10000, "dataset_name": "mdd"}, "cand_valid": {"name": "cand_valid", "num_bytes": 1521633, "num_examples": 10000, "dataset_name": "mdd"}, "cand_test": {"name": "cand_test", "num_bytes": 1567235, "num_examples": 10000, "dataset_name": "mdd"}}, "download_checksums": {"http://tinyurl.com/p6tyohj": {"num_bytes": 192209920, "checksum": "6316a6a5c563bc3c133a4a1e611d8ca638c61582f331c500697d9090efd215bb"}}, "download_size": 192209920, "post_processing_size": null, "dataset_size": 511546025, "size_in_bytes": 703755945}}