Datasets:
subjqa

- {"books": {"description": "SubjQA is a question answering dataset that focuses on subjective questions and answers.\nThe dataset consists of roughly 10,000 questions over reviews from 6 different domains: books, movies, grocery,\nelectronics, TripAdvisor (i.e. hotels), and restaurants.", "citation": "@inproceedings{bjerva20subjqa,\n title = \"SubjQA: A Dataset for Subjectivity and Review Comprehension\",\n author = \"Bjerva, Johannes and\n Bhutani, Nikita and\n Golahn, Behzad and\n Tan, Wang-Chiew and\n Augenstein, Isabelle\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing\",\n month = November,\n year = \"2020\",\n publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "", "license": "", "features": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "nn_mod": {"dtype": "string", "id": null, "_type": "Value"}, "nn_asp": {"dtype": "string", "id": null, "_type": "Value"}, "query_mod": {"dtype": "string", "id": null, "_type": "Value"}, "query_asp": {"dtype": "string", "id": null, "_type": "Value"}, "q_reviews_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ques_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ques_subjective": {"dtype": "bool", "id": null, "_type": "Value"}, "review_id": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}, "answer_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ans_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ans_subjective": {"dtype": "bool", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "subjqa", "config_name": "books", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2473128, "num_examples": 1314, "dataset_name": "subjqa"}, "test": {"name": "test", "num_bytes": 649413, "num_examples": 345, "dataset_name": "subjqa"}, "validation": {"name": "validation", "num_bytes": 460214, "num_examples": 256, "dataset_name": "subjqa"}}, "download_checksums": {"https://github.com/lewtun/SubjQA/archive/refs/heads/master.zip": {"num_bytes": 11384657, "checksum": "f3d58fd04c698fccb326b7ea4ea93098cc2186a3925f4bbad9b538ed7acc72db"}}, "download_size": 11384657, "post_processing_size": null, "dataset_size": 3582755, "size_in_bytes": 14967412}, "electronics": {"description": "SubjQA is a question answering dataset that focuses on subjective questions and answers.\nThe dataset consists of roughly 10,000 questions over reviews from 6 different domains: books, movies, grocery,\nelectronics, TripAdvisor (i.e. hotels), and restaurants.", "citation": "@inproceedings{bjerva20subjqa,\n title = \"SubjQA: A Dataset for Subjectivity and Review Comprehension\",\n author = \"Bjerva, Johannes and\n Bhutani, Nikita and\n Golahn, Behzad and\n Tan, Wang-Chiew and\n Augenstein, Isabelle\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing\",\n month = November,\n year = \"2020\",\n publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "", "license": "", "features": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "nn_mod": {"dtype": "string", "id": null, "_type": "Value"}, "nn_asp": {"dtype": "string", "id": null, "_type": "Value"}, "query_mod": {"dtype": "string", "id": null, "_type": "Value"}, "query_asp": {"dtype": "string", "id": null, "_type": "Value"}, "q_reviews_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ques_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ques_subjective": {"dtype": "bool", "id": null, "_type": "Value"}, "review_id": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}, "answer_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ans_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ans_subjective": {"dtype": "bool", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "subjqa", "config_name": "electronics", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2123648, "num_examples": 1295, "dataset_name": "subjqa"}, "test": {"name": "test", "num_bytes": 608899, "num_examples": 358, "dataset_name": "subjqa"}, "validation": {"name": "validation", "num_bytes": 419042, "num_examples": 255, "dataset_name": "subjqa"}}, "download_checksums": {"https://github.com/lewtun/SubjQA/archive/refs/heads/master.zip": {"num_bytes": 11384657, "checksum": "f3d58fd04c698fccb326b7ea4ea93098cc2186a3925f4bbad9b538ed7acc72db"}}, "download_size": 11384657, "post_processing_size": null, "dataset_size": 3151589, "size_in_bytes": 14536246}, "grocery": {"description": "SubjQA is a question answering dataset that focuses on subjective questions and answers.\nThe dataset consists of roughly 10,000 questions over reviews from 6 different domains: books, movies, grocery,\nelectronics, TripAdvisor (i.e. hotels), and restaurants.", "citation": "@inproceedings{bjerva20subjqa,\n title = \"SubjQA: A Dataset for Subjectivity and Review Comprehension\",\n author = \"Bjerva, Johannes and\n Bhutani, Nikita and\n Golahn, Behzad and\n Tan, Wang-Chiew and\n Augenstein, Isabelle\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing\",\n month = November,\n year = \"2020\",\n publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "", "license": "", "features": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "nn_mod": {"dtype": "string", "id": null, "_type": "Value"}, "nn_asp": {"dtype": "string", "id": null, "_type": "Value"}, "query_mod": {"dtype": "string", "id": null, "_type": "Value"}, "query_asp": {"dtype": "string", "id": null, "_type": "Value"}, "q_reviews_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ques_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ques_subjective": {"dtype": "bool", "id": null, "_type": "Value"}, "review_id": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}, "answer_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ans_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ans_subjective": {"dtype": "bool", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "subjqa", "config_name": "grocery", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1317488, "num_examples": 1124, "dataset_name": "subjqa"}, "test": {"name": "test", "num_bytes": 721827, "num_examples": 591, "dataset_name": "subjqa"}, "validation": {"name": "validation", "num_bytes": 254432, "num_examples": 218, "dataset_name": "subjqa"}}, "download_checksums": {"https://github.com/lewtun/SubjQA/archive/refs/heads/master.zip": {"num_bytes": 11384657, "checksum": "f3d58fd04c698fccb326b7ea4ea93098cc2186a3925f4bbad9b538ed7acc72db"}}, "download_size": 11384657, "post_processing_size": null, "dataset_size": 2293747, "size_in_bytes": 13678404}, "movies": {"description": "SubjQA is a question answering dataset that focuses on subjective questions and answers.\nThe dataset consists of roughly 10,000 questions over reviews from 6 different domains: books, movies, grocery,\nelectronics, TripAdvisor (i.e. hotels), and restaurants.", "citation": "@inproceedings{bjerva20subjqa,\n title = \"SubjQA: A Dataset for Subjectivity and Review Comprehension\",\n author = \"Bjerva, Johannes and\n Bhutani, Nikita and\n Golahn, Behzad and\n Tan, Wang-Chiew and\n Augenstein, Isabelle\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing\",\n month = November,\n year = \"2020\",\n publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "", "license": "", "features": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "nn_mod": {"dtype": "string", "id": null, "_type": "Value"}, "nn_asp": {"dtype": "string", "id": null, "_type": "Value"}, "query_mod": {"dtype": "string", "id": null, "_type": "Value"}, "query_asp": {"dtype": "string", "id": null, "_type": "Value"}, "q_reviews_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ques_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ques_subjective": {"dtype": "bool", "id": null, "_type": "Value"}, "review_id": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}, "answer_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ans_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ans_subjective": {"dtype": "bool", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "subjqa", "config_name": "movies", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2986348, "num_examples": 1369, "dataset_name": "subjqa"}, "test": {"name": "test", "num_bytes": 620513, "num_examples": 291, "dataset_name": "subjqa"}, "validation": {"name": "validation", "num_bytes": 589663, "num_examples": 261, "dataset_name": "subjqa"}}, "download_checksums": {"https://github.com/lewtun/SubjQA/archive/refs/heads/master.zip": {"num_bytes": 11384657, "checksum": "f3d58fd04c698fccb326b7ea4ea93098cc2186a3925f4bbad9b538ed7acc72db"}}, "download_size": 11384657, "post_processing_size": null, "dataset_size": 4196524, "size_in_bytes": 15581181}, "restaurants": {"description": "SubjQA is a question answering dataset that focuses on subjective questions and answers.\nThe dataset consists of roughly 10,000 questions over reviews from 6 different domains: books, movies, grocery,\nelectronics, TripAdvisor (i.e. hotels), and restaurants.", "citation": "@inproceedings{bjerva20subjqa,\n title = \"SubjQA: A Dataset for Subjectivity and Review Comprehension\",\n author = \"Bjerva, Johannes and\n Bhutani, Nikita and\n Golahn, Behzad and\n Tan, Wang-Chiew and\n Augenstein, Isabelle\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing\",\n month = November,\n year = \"2020\",\n publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "", "license": "", "features": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "nn_mod": {"dtype": "string", "id": null, "_type": "Value"}, "nn_asp": {"dtype": "string", "id": null, "_type": "Value"}, "query_mod": {"dtype": "string", "id": null, "_type": "Value"}, "query_asp": {"dtype": "string", "id": null, "_type": "Value"}, "q_reviews_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ques_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ques_subjective": {"dtype": "bool", "id": null, "_type": "Value"}, "review_id": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}, "answer_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ans_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ans_subjective": {"dtype": "bool", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "subjqa", "config_name": "restaurants", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1823331, "num_examples": 1400, "dataset_name": "subjqa"}, "test": {"name": "test", "num_bytes": 335453, "num_examples": 266, "dataset_name": "subjqa"}, "validation": {"name": "validation", "num_bytes": 349354, "num_examples": 267, "dataset_name": "subjqa"}}, "download_checksums": {"https://github.com/lewtun/SubjQA/archive/refs/heads/master.zip": {"num_bytes": 11384657, "checksum": "f3d58fd04c698fccb326b7ea4ea93098cc2186a3925f4bbad9b538ed7acc72db"}}, "download_size": 11384657, "post_processing_size": null, "dataset_size": 2508138, "size_in_bytes": 13892795}, "tripadvisor": {"description": "SubjQA is a question answering dataset that focuses on subjective questions and answers.\nThe dataset consists of roughly 10,000 questions over reviews from 6 different domains: books, movies, grocery,\nelectronics, TripAdvisor (i.e. hotels), and restaurants.", "citation": "@inproceedings{bjerva20subjqa,\n title = \"SubjQA: A Dataset for Subjectivity and Review Comprehension\",\n author = \"Bjerva, Johannes and\n Bhutani, Nikita and\n Golahn, Behzad and\n Tan, Wang-Chiew and\n Augenstein, Isabelle\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing\",\n month = November,\n year = \"2020\",\n publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "", "license": "", "features": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "nn_mod": {"dtype": "string", "id": null, "_type": "Value"}, "nn_asp": {"dtype": "string", "id": null, "_type": "Value"}, "query_mod": {"dtype": "string", "id": null, "_type": "Value"}, "query_asp": {"dtype": "string", "id": null, "_type": "Value"}, "q_reviews_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ques_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ques_subjective": {"dtype": "bool", "id": null, "_type": "Value"}, "review_id": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}, "answer_subj_level": {"dtype": "int64", "id": null, "_type": "Value"}, "ans_subj_score": {"dtype": "float32", "id": null, "_type": "Value"}, "is_ans_subjective": {"dtype": "bool", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "subjqa", "config_name": "tripadvisor", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1575021, "num_examples": 1165, "dataset_name": "subjqa"}, "test": {"name": "test", "num_bytes": 689508, "num_examples": 512, "dataset_name": "subjqa"}, "validation": {"name": "validation", "num_bytes": 312645, "num_examples": 230, "dataset_name": "subjqa"}}, "download_checksums": {"https://github.com/lewtun/SubjQA/archive/refs/heads/master.zip": {"num_bytes": 11384657, "checksum": "f3d58fd04c698fccb326b7ea4ea93098cc2186a3925f4bbad9b538ed7acc72db"}}, "download_size": 11384657, "post_processing_size": null, "dataset_size": 2577174, "size_in_bytes": 13961831}}