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--- |
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task_categories: |
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- conversational |
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language: |
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- en |
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tags: |
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- recommendation |
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viewer: false |
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--- |
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# Dataset Card for `Reddit-Movie-raw` |
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## Dataset Description |
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- **Homepage:** https://github.com/AaronHeee/LLMs-as-Zero-Shot-Conversational-RecSys |
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- **Repository:** https://github.com/AaronHeee/LLMs-as-Zero-Shot-Conversational-RecSys |
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- **Paper:** To appear |
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- **Point of Contact:** zhh004@eng.ucsd.edu |
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### Dataset Summary |
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This dataset provides the raw text from [Reddit](https://reddit.com) related to movie recommendation conversations. |
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The dataset is extracted from the data dump of [pushshift.io](https://arxiv.org/abs/2001.08435) and only for research use. |
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### Disclaimer |
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⚠️ **Please note that conversations processed from Reddit raw data may include content that is not entirely conducive to a positive experience (e.g., toxic speech). Exercise caution and discretion when utilizing this information.** |
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### Folder Structure |
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We explain our data folder as follows: |
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```bash |
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reddit_movie_raw |
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├── IMDB-database |
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│ ├── clean.py # script to obtain clean IMDB movie titles, which can be used for movie name matching if needed. |
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│ ├── movie_clean.tsv # results after movie title cleaning |
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│ ├── title.basics.tsv # original movie title information from IMDB |
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│ └── title.ratings.tsv # # original movie title and rating information from IMDB |
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├── Reddit-Movie-large |
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│ ├── sentences.jsonl # raw sentences from the subreddit/* data, it can be used for following processing |
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│ └── subreddit # raw text from different subreddits from Jan. 2012 to Dec. 2022 (large) |
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│ ├── bestofnetflix.jsonl |
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│ ├── movies.jsonl |
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│ ├── moviesuggestions.jsonl |
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│ ├── netflixbestof.jsonl |
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│ └── truefilm.jsonl |
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└── Reddit-Movie-small |
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├── sentences.jsonl # raw sentences from the subreddit/* data, it can be used for following processing |
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└── subreddit # raw text from different subreddits from Jan. 2022 to Dec. 2022 (small) |
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├── bestofnetflix.jsonl |
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├── movies.jsonl |
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├── moviesuggestions.jsonl |
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├── netflixbestof.jsonl |
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└── truefilm.jsonl |
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``` |
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### Data Processing |
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We also provide first-version processed Reddit-Movie datasets as [Reddit-Movie-small-V1]() and [Reddit-Movie-large-V1](). |
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Join us if you want to improve the processing quality as well! |
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### Citation Information |
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Please cite these two papers if you used this raw data, thanks! |
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```bib |
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@inproceedings{baumgartner2020pushshift, |
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title={The pushshift reddit dataset}, |
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author={Baumgartner, Jason and Zannettou, Savvas and Keegan, Brian and Squire, Megan and Blackburn, Jeremy}, |
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booktitle={Proceedings of the international AAAI conference on web and social media}, |
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volume={14}, |
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pages={830--839}, |
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year={2020} |
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} |
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``` |
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```bib |
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@inproceedings{he23large, |
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title = Large language models as zero-shot conversational recommenders", |
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author = "Zhankui He and Zhouhang Xie and Rahul Jha and Harald Steck and Dawen Liang and Yesu Feng and Bodhisattwa Majumder and Nathan Kallus and Julian McAuley", |
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year = "2023", |
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booktitle = "CIKM" |
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} |
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``` |
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Please contact [Zhankui He](https://aaronheee.github.io) if you have any questions or suggestions. |
