{ "light": { "description": "AmbigNQ, a dataset covering 14,042 questions from NQ-open, an existing open-domain QA benchmark. We find that over half of the questions in NQ-open are ambiguous. The types of ambiguity are diverse and sometimes subtle, many of which are only apparent after examining evidence provided by a very large text corpus. AMBIGNQ, a dataset with\n14,042 annotations on NQ-OPEN questions containing diverse types of ambiguity.\nWe provide two distributions of our new dataset AmbigNQ: a full version with all annotation metadata and a light version with only inputs and outputs.\n", "citation": "@inproceedings{ min2020ambigqa,\n title={ {A}mbig{QA}: Answering Ambiguous Open-domain Questions },\n author={ Min, Sewon and Michael, Julian and Hajishirzi, Hannaneh and Zettlemoyer, Luke },\n booktitle={ EMNLP },\n year={2020}\n}\n", "homepage": "https://nlp.cs.washington.edu/ambigqa/", "license": "CC BY-SA 3.0", "features": { "id": { "dtype": "string", "_type": "Value" }, "question": { "dtype": "string", "_type": "Value" }, "annotations": { "feature": { "type": { "dtype": "string", "_type": "Value" }, "answer": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" }, "qaPairs": { "feature": { "question": { "dtype": "string", "_type": "Value" }, "answer": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" } }, "_type": "Sequence" } }, "_type": "Sequence" } }, "builder_name": "parquet", "dataset_name": "ambig_qa", "config_name": "light", "version": { "version_str": "1.0.0", "major": 1, "minor": 0, "patch": 0 }, "splits": { "train": { "name": "train", "num_bytes": 2739628, "num_examples": 10036, "dataset_name": null }, "validation": { "name": "validation", "num_bytes": 805756, "num_examples": 2002, "dataset_name": null } }, "download_size": 1777867, "dataset_size": 3545384, "size_in_bytes": 5323251 }, "full": { "description": "AmbigNQ, a dataset covering 14,042 questions from NQ-open, an existing open-domain QA benchmark. We find that over half of the questions in NQ-open are ambiguous. The types of ambiguity are diverse and sometimes subtle, many of which are only apparent after examining evidence provided by a very large text corpus. AMBIGNQ, a dataset with\n14,042 annotations on NQ-OPEN questions containing diverse types of ambiguity.\nWe provide two distributions of our new dataset AmbigNQ: a full version with all annotation metadata and a light version with only inputs and outputs.\n", "citation": "@inproceedings{ min2020ambigqa,\n title={ {A}mbig{QA}: Answering Ambiguous Open-domain Questions },\n author={ Min, Sewon and Michael, Julian and Hajishirzi, Hannaneh and Zettlemoyer, Luke },\n booktitle={ EMNLP },\n year={2020}\n}\n", "homepage": "https://nlp.cs.washington.edu/ambigqa/", "license": "CC BY-SA 3.0", "features": { "id": { "dtype": "string", "_type": "Value" }, "question": { "dtype": "string", "_type": "Value" }, "annotations": { "feature": { "type": { "dtype": "string", "_type": "Value" }, "answer": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" }, "qaPairs": { "feature": { "question": { "dtype": "string", "_type": "Value" }, "answer": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" } }, "_type": "Sequence" } }, "_type": "Sequence" }, "viewed_doc_titles": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" }, "used_queries": { "feature": { "query": { "dtype": "string", "_type": "Value" }, "results": { "feature": { "title": { "dtype": "string", "_type": "Value" }, "snippet": { "dtype": "string", "_type": "Value" } }, "_type": "Sequence" } }, "_type": "Sequence" }, "nq_answer": { "feature": { "dtype": "string", "_type": "Value" }, "_type": "Sequence" }, "nq_doc_title": { "dtype": "string", "_type": "Value" } }, "builder_name": "parquet", "dataset_name": "ambig_qa", "config_name": "full", "version": { "version_str": "1.0.0", "major": 1, "minor": 0, "patch": 0 }, "splits": { "train": { "name": "train", "num_bytes": 43538533, "num_examples": 10036, "dataset_name": null }, "validation": { "name": "validation", "num_bytes": 15383268, "num_examples": 2002, "dataset_name": null } }, "download_size": 30674462, "dataset_size": 58921801, "size_in_bytes": 89596263 } }