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dataset_infos.json

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-{"default": {"description": "The E2E dataset is used for training end-to-end, data-driven natural language generation systems in the restaurant domain, which is ten times bigger than existing, frequently used datasets in this area.\nThe E2E dataset poses new challenges:\n(1) its human reference texts show more lexical richness and syntactic variation, including discourse phenomena;\n(2) generating from this set requires content selection. As such, learning from this dataset promises more natural, varied and less template-like system utterances.\n\n\nE2E is released in the following paper where you can find more details and baseline results:\nhttps://arxiv.org/abs/1706.09254\n", "citation": "@article{dusek.etal2020:csl,\n  title = {Evaluating the {{State}}-of-the-{{Art}} of {{End}}-to-{{End Natural Language Generation}}: {{The E2E NLG Challenge}}},\n  author = {Du{\u000b{s}}ek, Ond\u000b{r}ej and Novikova, Jekaterina and Rieser, Verena},\n  year = {2020},\n  month = jan,\n  volume = {59},\n  pages = {123--156},\n  doi = {10.1016/j.csl.2019.06.009},\n  archivePrefix = {arXiv},\n  eprint = {1901.11528},\n  eprinttype = {arxiv},\n  journal = {Computer Speech \\& Language}\n}\n", "homepage": "http://www.macs.hw.ac.uk/InteractionLab/E2E/#data", "license": "", "features": {"meaning_representation": {"dtype": "string", "id": null, "_type": "Value"}, "human_reference": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "e2e_nlg", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 9435824, "num_examples": 42061, "dataset_name": "e2e_nlg"}, "validation": {"name": "validation", "num_bytes": 1171723, "num_examples": 4672, "dataset_name": "e2e_nlg"}, "test": {"name": "test", "num_bytes": 1320205, "num_examples": 4693, "dataset_name": "e2e_nlg"}}, "download_checksums": {"https://raw.githubusercontent.com/tuetschek/e2e-dataset/master/trainset.csv": {"num_bytes": 9340189, "checksum": "f27d48df45815288ab15619d47a79028c300fbb7f42e373668aba0b98c1d57c6"}, "https://raw.githubusercontent.com/tuetschek/e2e-dataset/master/devset.csv": {"num_bytes": 1161305, "checksum": "fc26b78cdb849c80545f513b223d1e051138b43882eeb79e3eb153e689c864f9"}, "https://raw.githubusercontent.com/tuetschek/e2e-dataset/master/testset_w_refs.csv": {"num_bytes": 1310822, "checksum": "edc8db685e39bb9824d5bd70c18b1c9b0412d14b527aa960e2d1c8251ee15ccd"}}, "download_size": 11812316, "post_processing_size": null, "dataset_size": 11927752, "size_in_bytes": 23740068}}