File size: 16,630 Bytes
ea8a129
1
{"en": {"description": "Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.\n", "citation": "@misc{wen2017networkbased,\n      title={A Network-based End-to-End Trainable Task-oriented Dialogue System},\n      author={Tsung-Hsien Wen and David Vandyke and Nikola Mrksic and Milica Gasic and Lina M. Rojas-Barahona and Pei-Hao Su and Stefan Ultes and Steve Young},\n      year={2017},\n      eprint={1604.04562},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz", "license": "", "features": {"dialogue_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue": [{"turn_label": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "asr": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "system_transcript": {"dtype": "string", "id": null, "_type": "Value"}, "turn_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "belief_state": [{"slots": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "act": {"dtype": "string", "id": null, "_type": "Value"}}], "transcript": {"dtype": "string", "id": null, "_type": "Value"}, "system_acts": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "builder_name": "woz_dialogue", "config_name": "en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 827189, "num_examples": 600, "dataset_name": "woz_dialogue"}, "validation": {"name": "validation", "num_bytes": 265684, "num_examples": 200, "dataset_name": "woz_dialogue"}, "test": {"name": "test", "num_bytes": 537557, "num_examples": 400, "dataset_name": "woz_dialogue"}}, "download_checksums": {"https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_train_en.json": {"num_bytes": 3825261, "checksum": "7cd9e971553e5f3e80bb0c93164bf4c619c7f49f45d636a0512474cdeb074485"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_validate_en.json": {"num_bytes": 1222746, "checksum": "ae1ea9067fd05c0179d349f140b38de1b2db587d5bfcb4f99ef0d77474ab00ad"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_test_en.json": {"num_bytes": 2481214, "checksum": "3673e433b21a6b0d74e9144bd059e64b29bc3e1c5dc0e18654a98ec597c0d72c"}}, "download_size": 7529221, "post_processing_size": null, "dataset_size": 1630430, "size_in_bytes": 9159651}, "de": {"description": "Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.\n", "citation": "@misc{wen2017networkbased,\n      title={A Network-based End-to-End Trainable Task-oriented Dialogue System},\n      author={Tsung-Hsien Wen and David Vandyke and Nikola Mrksic and Milica Gasic and Lina M. Rojas-Barahona and Pei-Hao Su and Stefan Ultes and Steve Young},\n      year={2017},\n      eprint={1604.04562},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz", "license": "", "features": {"dialogue_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue": [{"turn_label": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "asr": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "system_transcript": {"dtype": "string", "id": null, "_type": "Value"}, "turn_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "belief_state": [{"slots": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "act": {"dtype": "string", "id": null, "_type": "Value"}}], "transcript": {"dtype": "string", "id": null, "_type": "Value"}, "system_acts": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "builder_name": "woz_dialogue", "config_name": "de", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 881478, "num_examples": 600, "dataset_name": "woz_dialogue"}, "validation": {"name": "validation", "num_bytes": 276758, "num_examples": 200, "dataset_name": "woz_dialogue"}, "test": {"name": "test", "num_bytes": 569703, "num_examples": 400, "dataset_name": "woz_dialogue"}}, "download_checksums": {"https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_train_de.json": {"num_bytes": 3879554, "checksum": "5a45bf0aefd258dbd05fd178b0be04ea7bbd4594b245e381f4ffeaabe3fa3c8a"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_validate_de.json": {"num_bytes": 1233820, "checksum": "d2c0086b86430b61eab7f816c6f34d52e79a403a46e9b45d5867b0fa912cfb48"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_test_de.json": {"num_bytes": 2513360, "checksum": "e40219302733703ae5beadccd7cc4079befdc720903b9ccf22b4a952c83bdbe6"}}, "download_size": 7626734, "post_processing_size": null, "dataset_size": 1727939, "size_in_bytes": 9354673}, "de_en": {"description": "Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.\n", "citation": "@misc{wen2017networkbased,\n      title={A Network-based End-to-End Trainable Task-oriented Dialogue System},\n      author={Tsung-Hsien Wen and David Vandyke and Nikola Mrksic and Milica Gasic and Lina M. Rojas-Barahona and Pei-Hao Su and Stefan Ultes and Steve Young},\n      year={2017},\n      eprint={1604.04562},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz", "license": "", "features": {"dialogue_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue": [{"turn_label": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "asr": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "system_transcript": {"dtype": "string", "id": null, "_type": "Value"}, "turn_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "belief_state": [{"slots": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "act": {"dtype": "string", "id": null, "_type": "Value"}}], "transcript": {"dtype": "string", "id": null, "_type": "Value"}, "system_acts": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "builder_name": "woz_dialogue", "config_name": "de_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 860151, "num_examples": 600, "dataset_name": "woz_dialogue"}, "validation": {"name": "validation", "num_bytes": 269966, "num_examples": 200, "dataset_name": "woz_dialogue"}, "test": {"name": "test", "num_bytes": 555841, "num_examples": 400, "dataset_name": "woz_dialogue"}}, "download_checksums": {"https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_train_de_en.json": {"num_bytes": 3858227, "checksum": "44354c8e09a060bc3bebd5900f735f0ce1789c2fca7dc4bcc7f014b13e43d797"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_validate_de_en.json": {"num_bytes": 1227028, "checksum": "26a8d029456e82275d35adbc97e625dda481b79e50909b8bad0419f5be8f455a"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_test_de_en.json": {"num_bytes": 2499498, "checksum": "e6ec0cec49b363d4fb78f175cc57d28739032f4be51fab8188cc3e3938fbf1df"}}, "download_size": 7584753, "post_processing_size": null, "dataset_size": 1685958, "size_in_bytes": 9270711}, "it": {"description": "Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.\n", "citation": "@misc{wen2017networkbased,\n      title={A Network-based End-to-End Trainable Task-oriented Dialogue System},\n      author={Tsung-Hsien Wen and David Vandyke and Nikola Mrksic and Milica Gasic and Lina M. Rojas-Barahona and Pei-Hao Su and Stefan Ultes and Steve Young},\n      year={2017},\n      eprint={1604.04562},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz", "license": "", "features": {"dialogue_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue": [{"turn_label": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "asr": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "system_transcript": {"dtype": "string", "id": null, "_type": "Value"}, "turn_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "belief_state": [{"slots": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "act": {"dtype": "string", "id": null, "_type": "Value"}}], "transcript": {"dtype": "string", "id": null, "_type": "Value"}, "system_acts": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "builder_name": "woz_dialogue", "config_name": "it", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 842799, "num_examples": 600, "dataset_name": "woz_dialogue"}, "validation": {"name": "validation", "num_bytes": 270258, "num_examples": 200, "dataset_name": "woz_dialogue"}, "test": {"name": "test", "num_bytes": 547759, "num_examples": 400, "dataset_name": "woz_dialogue"}}, "download_checksums": {"https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_train_it.json": {"num_bytes": 3840879, "checksum": "233b8b473f1a5d65e576cdbcb86e282388b5035f93394f136375654ff1753b05"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_validate_it.json": {"num_bytes": 1227320, "checksum": "81daa64a2969d181702332597e291c298156c1b2a9ce525c52889327dafe91e0"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_test_it.json": {"num_bytes": 2491416, "checksum": "5a86bd9fb3f86fde802dd5121f6b1e83e3f9b4925d5b7e0ee32fb574b3b2d28b"}}, "download_size": 7559615, "post_processing_size": null, "dataset_size": 1660816, "size_in_bytes": 9220431}, "it_en": {"description": "Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.\n", "citation": "@misc{wen2017networkbased,\n      title={A Network-based End-to-End Trainable Task-oriented Dialogue System},\n      author={Tsung-Hsien Wen and David Vandyke and Nikola Mrksic and Milica Gasic and Lina M. Rojas-Barahona and Pei-Hao Su and Stefan Ultes and Steve Young},\n      year={2017},\n      eprint={1604.04562},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz", "license": "", "features": {"dialogue_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "dialogue": [{"turn_label": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "asr": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "system_transcript": {"dtype": "string", "id": null, "_type": "Value"}, "turn_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "belief_state": [{"slots": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "act": {"dtype": "string", "id": null, "_type": "Value"}}], "transcript": {"dtype": "string", "id": null, "_type": "Value"}, "system_acts": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}]}, "post_processed": null, "supervised_keys": null, "builder_name": "woz_dialogue", "config_name": "it_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 845095, "num_examples": 600, "dataset_name": "woz_dialogue"}, "validation": {"name": "validation", "num_bytes": 270942, "num_examples": 200, "dataset_name": "woz_dialogue"}, "test": {"name": "test", "num_bytes": 548979, "num_examples": 400, "dataset_name": "woz_dialogue"}}, "download_checksums": {"https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_train_it_en.json": {"num_bytes": 3843175, "checksum": "f6e4ad713de33e1ede787ec3e548ca998e1abdfc538e4d2aa02f7edc7f5c8ac0"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_validate_it_en.json": {"num_bytes": 1228004, "checksum": "6711a531638a40fb6e875d0874b22ea35bd502b089480ef888e73d5f16605cb7"}, "https://raw.githubusercontent.com/nmrksic/neural-belief-tracker/master/data/woz/woz_test_it_en.json": {"num_bytes": 2492636, "checksum": "e86ca0d906a6017026077b173a3d753cb9c3461f585e6f8f68b5aaee8a8b4a78"}}, "download_size": 7563815, "post_processing_size": null, "dataset_size": 1665016, "size_in_bytes": 9228831}}