Upload hate_speech18_default_train_text_5000_space_embeds/dataset_info.json
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hate_speech18_default_train_text_5000_space_embeds/dataset_info.json
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{
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"builder_name": "squad",
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"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",
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"config_name": "plain_text",
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"dataset_size": 89819400,
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"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",
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"download_checksums": {
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},
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}
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},
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"download_size": 35142551,
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"features": {
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"embed": {
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"feature": {
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"dtype": "float64",
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"id": null,
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"_type": "Value"
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},
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"length": -1,
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"id": null,
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"_type": "Sequence"
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},
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"text": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"homepage": "https://rajpurkar.github.io/SQuAD-explorer/",
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"license": "",
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"post_processed": null,
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"size_in_bytes": 124961951,
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"train": {
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"name": "train",
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"dataset_name": "squad"
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"validation": {
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"name": "validation",
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},
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"supervised_keys": null,
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"task_templates": [],
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"version": {
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"version_str": "1.0.0",
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"description": "",
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}
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}
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