{
 "id": "Francis2003/Movie-O-Label",
 "owner": "Francis2003",
 "name": "Movie-O-Label",
 "downloads": 36,
 "likes": 0,
 "last_modified": "2025-10-09T08:15:54.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "- **MovieSum dataset**:  \n  Created and published by [Rohit Saxena](https://huggingface.co/datasets/rohitsaxena/MovieSum) (with Frank Keller).  \n  Licensed under the **Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)** license.  \n  If you use this dataset, please cite:  \n  *Rohit Saxena and Frank Keller. \"MovieSum: An Abstractive Summarization Dataset for Movie Screenplays.\" Findings of ACL 2024. arXiv:2408.06281.*\n\n- **Oscar nominations**:  \n  Data adapted from [David V. Lu!!’s Oscar Data](https://github.com/DLu/oscar_data)  \n  Licensed under the **BSD 2-Clause License** © 2022 David V. Lu!!.\n\n- **Movie-O-Label**:  \n  Created and processed by [Francis Gross](https://huggingface.co/datasets/Francis2003/Movie-O-Label), based on cleaned MovieSum screenplay texts enriched with Oscar nomination and winner labels.  \n  Released under the **Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)** license.\n   If you use this dataset, please cite:  \n   *Francis Gross. \"Movie-O-Label: Predicting Oscar-Nominated Screenplays with Sentence Embeddings.\" Findings of ACL 2025 on Hugging Face.*",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "ada025e7149ccf3a59f1c99b68dfa5d333e762f4",
 "stated_evidence": "https://huggingface.co/datasets/Francis2003/Movie-O-Label/blob/ada025e7149ccf3a59f1c99b68dfa5d333e762f4/README.md",
 "file_evidence": "https://huggingface.co/datasets/Francis2003/Movie-O-Label/tree/ada025e7149ccf3a59f1c99b68dfa5d333e762f4",
 "card_nc": false
}