dataset_infos.json

{"default": {"description": "The Text REtrieval Conference (TREC) Question Classification dataset contains 5500 labeled questions in training set and another 500 for test set. The dataset has 6 labels, 47 level-2 labels. Average length of each sentence is 10, vocabulary size of 8700.\n\nData are collected from four sources: 4,500 English questions published by USC (Hovy et al., 2001), about 500 manually constructed questions for a few rare classes, 894 TREC 8 and TREC 9 questions, and also 500 questions from TREC 10 which serves as the test set.\n", "citation": "@inproceedings{li-roth-2002-learning,\n    title = \"Learning Question Classifiers\",\n    author = \"Li, Xin  and\n      Roth, Dan\",\n    booktitle = \"{COLING} 2002: The 19th International Conference on Computational Linguistics\",\n    year = \"2002\",\n    url = \"https://www.aclweb.org/anthology/C02-1150\",\n}\n@inproceedings{hovy-etal-2001-toward,\n    title = \"Toward Semantics-Based Answer Pinpointing\",\n    author = \"Hovy, Eduard  and\n      Gerber, Laurie  and\n      Hermjakob, Ulf  and\n      Lin, Chin-Yew  and\n      Ravichandran, Deepak\",\n    booktitle = \"Proceedings of the First International Conference on Human Language Technology Research\",\n    year = \"2001\",\n    url = \"https://www.aclweb.org/anthology/H01-1069\",\n}\n", "homepage": "https://cogcomp.seas.upenn.edu/Data/QA/QC/", "license": "", "features": {"label-coarse": {"num_classes": 6, "names": ["DESC", "ENTY", "ABBR", "HUM", "NUM", "LOC"], "names_file": null, "id": null, "_type": "ClassLabel"}, "label-fine": {"num_classes": 47, "names": ["manner", "cremat", "animal", "exp", "ind", "gr", "title", "def", "date", "reason", "event", "state", "desc", "count", "other", "letter", "religion", "food", "country", "color", "termeq", "city", "body", "dismed", "mount", "money", "product", "period", "substance", "sport", "plant", "techmeth", "volsize", "instru", "abb", "speed", "word", "lang", "perc", "code", "dist", "temp", "symbol", "ord", "veh", "weight", "currency"], "names_file": null, "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "trec", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 385090, "num_examples": 5452, "dataset_name": "trec"}, "test": {"name": "test", "num_bytes": 27983, "num_examples": 500, "dataset_name": "trec"}}, "download_checksums": {"http://cogcomp.org/Data/QA/QC/train_5500.label": {"num_bytes": 335858, "checksum": "9e4c8bdcaffb96ed61041bd64b564183d52793a8e91d84fc3a8646885f466ec3"}, "http://cogcomp.org/Data/QA/QC/TREC_10.label": {"num_bytes": 23354, "checksum": "033f22c028c2bbba9ca682f68ffe204dc1aa6e1cf35dd6207f2d4ca67f0d0e8e"}}, "download_size": 359212, "dataset_size": 413073, "size_in_bytes": 772285}}