Datasets:
Lara Martin
commited on
Commit
·
4ce27f7
1
Parent(s):
23a2a3c
info json and dummy data
Browse files- dataset_infos.json +113 -0
- dummy/dummy_data.zip +0 -0
dataset_infos.json
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{
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"scifiplots": {
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"description": "A collection of long-running (80+ episodes) science fiction TV show plot synopses, scraped from Fandom.com wikis. Collected Nov 2017. Each episode is considered a \"story\".\n\nContains plot summaries from: * Babylon 5 (https://babylon5.fandom.com/wiki/Main_Page) - 84 stories\n * Doctor Who (https://tardis.fandom.com/wiki/Doctor_Who_Wiki) - 311 stories\n * Doctor Who spin-offs - 95 stories\n * Farscape (https://farscape.fandom.com/wiki/Farscape_Encyclopedia_Project:Main_Page) - 90 stories\n * Fringe (https://fringe.fandom.com/wiki/FringeWiki) - 87 stories\n * Futurama (https://futurama.fandom.com/wiki/Futurama_Wiki) - 87 stories\n * Stargate (https://stargate.fandom.com/wiki/Stargate_Wiki) - 351 stories\n * Star Trek (https://memory-alpha.fandom.com/wiki/Star_Trek) - 701 stories\n * Star Wars books (https://starwars.fandom.com/wiki/Main_Page) - 205 stories, each book is a story\n * Star Wars Rebels - 65 stories\n * X-Files (https://x-files.fandom.com/wiki/Main_Page) - 200 stories\nTotal: 2276 stories\n\nDataset is \"eventified\" and generalized (see LJ Martin, P Ammanabrolu, X Wang, W Hancock, S Singh, B Harrison, and MO Riedl. Event Representations for Automated Story Generation with Deep Neural Nets, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018. for details on these processes.) and split into train-test-validation sets---separated by story so that full stories will stay together---for converting events into full sentences.",
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"citation": "@inproceedings{Ammanabrolu2020AAAI, title={Story Realization: Expanding Plot Events into Sentences}, author={Prithviraj Ammanabrolu and Ethan Tien and Wesley Cheung and Zhaochen Luo and William Ma and Lara J. Martin and Mark O. Riedl}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, year={2020}, volume={34}, number={05}, url={https://ojs.aaai.org//index.php/AAAI/article/view/6232} }",
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"homepage": "",
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"license": "The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/",
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"features": {
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"label-coarse": {
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"num_classes": 6,
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"names": ["EVENT", "GEN_EVENT", "SENT", "GEN_SENT", "ENTITIES"],
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"names_file": null,
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"id": null,
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"_type": "ClassLabel"
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},
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"text": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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}
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},
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"supervised_keys": null,
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"builder_name": "scifiplots",
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"config_name": "default",
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"version": {
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"version_str": "1.0.0", "description": null,
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"datasets_version_to_prepare": null,
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"major": 1, "minor": 0, "patch": 0
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},
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"splits": {
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"test-input": {
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"name": "test-input",
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"num_bytes": 2166129,
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"num_examples": 30938,
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"dataset_name": "Scifi_TV_Shows"
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},
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"test-output": {
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"name": "test-output",
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"num_bytes": 3240195,
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"num_examples": 30938,
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"dataset_name": "Scifi_TV_Shows"
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},
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"train-input": {
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"name": "train-input",
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"num_bytes": 17854168,
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"num_examples": 257184,
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"dataset_name": "Scifi_TV_Shows"
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},
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"train-output": {
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"name": "train-output",
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"num_bytes": 22577919,
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"num_examples": 257184,
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"dataset_name": "Scifi_TV_Shows"
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},
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"val-input": {
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"name": "val-input",
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"num_bytes": 2284607,
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"num_examples": 32855,
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"dataset_name": "Scifi_TV_Shows"
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},
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"val-output": {
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"name": "val-output",
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"num_bytes": 3010135,
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"num_examples": 32855,
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"dataset_name": "Scifi_TV_Shows"
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}
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},
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"download_checksums": {
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"https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows/blob/main/Test-Train-Val/all-sci-fi-data-test.txt": {
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"dataset_size": 413073,
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"size_in_bytes": 772285
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}
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}
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dummy/dummy_data.zip
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Binary file (356 kB). View file
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