Datasets:
Commit
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116f04f
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Parent(s):
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Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -112
dataset_infos.json
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{
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"abstractive": {
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"description": "AQuaMuSe is a novel scalable approach to automatically mine dual query based multi-document summarization datasets for extractive and abstractive summaries using question answering dataset (Google Natural Questions) and large document corpora (Common Crawl)",
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"citation": "@misc{kulkarni2020aquamuse,\n title={AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization},\n author={Sayali Kulkarni and Sheide Chammas and Wan Zhu and Fei Sha and Eugene Ie},\n year={2020},\n eprint={2010.12694},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n",
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"homepage": "https://github.com/google-research-datasets/aquamuse",
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"license": "",
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"features": {
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"query": {
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"dtype": "string",
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"_type": "Value"
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},
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"input_urls": {
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"feature": {
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"dtype": "string",
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"_type": "Value"
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},
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"_type": "Sequence"
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},
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"target": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"builder_name": "parquet",
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"dataset_name": "aquamuse",
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"config_name": "abstractive",
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"version": {
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"version_str": "2.3.0",
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"major": 2,
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"minor": 3,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 6434893,
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"num_examples": 6253,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 843165,
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"num_examples": 811,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 689093,
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"num_examples": 661,
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"dataset_name": null
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}
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},
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"download_size": 5167854,
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"dataset_size": 7967151,
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"size_in_bytes": 13135005
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},
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"extractive": {
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"description": "AQuaMuSe is a novel scalable approach to automatically mine dual query based multi-document summarization datasets for extractive and abstractive summaries using question answering dataset (Google Natural Questions) and large document corpora (Common Crawl)",
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"citation": "@misc{kulkarni2020aquamuse,\n title={AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization},\n author={Sayali Kulkarni and Sheide Chammas and Wan Zhu and Fei Sha and Eugene Ie},\n year={2020},\n eprint={2010.12694},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n",
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"homepage": "https://github.com/google-research-datasets/aquamuse",
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"license": "",
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"features": {
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"query": {
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"dtype": "string",
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"_type": "Value"
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},
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"input_urls": {
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"feature": {
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"dtype": "string",
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"_type": "Value"
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},
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"_type": "Sequence"
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},
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"target": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"builder_name": "parquet",
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"dataset_name": "aquamuse",
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"config_name": "extractive",
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"version": {
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"version_str": "2.3.0",
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"major": 2,
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"minor": 3,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 6434893,
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"num_examples": 6253,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 843165,
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"num_examples": 811,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 689093,
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"num_examples": 661,
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"dataset_name": null
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}
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},
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"download_size": 5162151,
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"dataset_size": 7967151,
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"size_in_bytes": 13129302
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}
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}
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