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README.md
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| SHP | 385K | Naturally occurring human-written responses | Aggregate Human Preference | 18 (labelled) | Question/Instruction + Response | up to 10.1K T5 tokens |
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| HH-RLHF | 91K | Dialogue with LLM | Individual Human Preference | unclear (not labelled) | Multi-turn Dialogue | up to 1.5K T5 tokens |
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How is SHP different from other datasets that have scraped
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Most notably, SHP uses the timestamp information to infer preferences, while ELI5 only provides comments and scores -- the latter are not enough to infer preferences since comments made earlier tend to get higher scores from more visibility.
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It also contains data from more domains:
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| SHP | 385K | Naturally occurring human-written responses | Aggregate Human Preference | 18 (labelled) | Question/Instruction + Response | up to 10.1K T5 tokens |
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| HH-RLHF | 91K | Dialogue with LLM | Individual Human Preference | unclear (not labelled) | Multi-turn Dialogue | up to 1.5K T5 tokens |
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How is SHP different from other datasets that have scraped Reddit, like [ELI5](https://huggingface.co/datasets/eli5#source-data)?
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Most notably, SHP uses the timestamp information to infer preferences, while ELI5 only provides comments and scores -- the latter are not enough to infer preferences since comments made earlier tend to get higher scores from more visibility.
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It also contains data from more domains:
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