Datasets:

BerMaker
/

test

+ {"description": "Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.\n", "citation": "@article{2016arXiv160605250R,\n author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},\n Konstantin and {Liang}, Percy},\n title = \"{SQuAD: 100,000+ Questions for Machine Comprehension of Text}\",\n journal = {arXiv e-prints},\n year = 2016,\n eid = {arXiv:1606.05250},\n pages = {arXiv:1606.05250},\narchivePrefix = {arXiv},\n eprint = {1606.05250},\n}\n", "homepage": "https://rajpurkar.github.io/SQuAD-explorer/", "license": "", "features": {"id": {"dtype": "string", "_type": "Value"}, "title": {"dtype": "string", "_type": "Value"}, "context": {"dtype": "string", "_type": "Value"}, "question": {"dtype": "string", "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "_type": "Value"}, "answer_start": {"dtype": "int32", "_type": "Value"}}, "_type": "Sequence"}}, "task_templates": [{"task": "question-answering-extractive"}], "builder_name": "test", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 79346108, "num_examples": 87599, "dataset_name": "test"}, "validation": {"name": "validation", "num_bytes": 10472984, "num_examples": 10570, "dataset_name": "test"}}, "download_checksums": {"https://rajpurkar.github.io/SQuAD-explorer/dataset/train-v1.1.json": {"num_bytes": 30288272, "checksum": null}, "https://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v1.1.json": {"num_bytes": 4854279, "checksum": null}}, "download_size": 35142551, "dataset_size": 89819092, "size_in_bytes": 124961643}