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MetaAligner/HH-RLHF-MetaAligner-Data

published by @MetaAligner

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.8K
Last 30 days
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Size
448.9 MB
Created on HF
2024-04-30
Age
2 years ago

Description

Dataset Card for HH-RLHF-MetaAligner-Data

Dataset Summary

This repository provides access to 2 subsets of the MetaAligner data built from HH-RLHF:

The equal-preference subset is included in: equal_train.json and equal_val.json.

The preference subset is included in: preference_train.json, preference_val.json, and preference_test.json.

Disclaimer: As the dialogue data comes from HH-RLHF, the data contain content that may be offensive or upsetting. Topics include… See the full description on the dataset page: https://huggingface.co/datasets/MetaAligner/HH-RLHF-MetaAligner-Data.

Tags

task_categories:text-generationlanguage:enlicense:mitsize_categories:100K<n<1Mformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantregion:ushuman preference alignment

README current version from Hugging Face


license: mit
task_categories:

  • text-generation
    language:
  • en
    tags:
  • human preference alignment
    size_categories:
  • 100K<n<1M

Dataset Card for HH-RLHF-MetaAligner-Data

Dataset Summary

This repository provides access to 2 subsets of the MetaAligner data built from HH-RLHF:

  1. The equal-preference subset is included in: equal_train.json and equal_val.json.
  2. The preference subset is included in: preference_train.json, preference_val.json, and preference_test.json.

Disclaimer: As the dialogue data comes from HH-RLHF, the data contain content that may be offensive or upsetting. Topics include, but are not limited to, discriminatory
language and discussions of abuse, violence, self-harm, exploitation, and other potentially upsetting subject matter. Please only engage with the data following your own
personal risk tolerance. The data are intended for research purposes, especially research that can make models less harmful.

Usage

Each of the above datasets is located in a separate sub-directory. To load an individual subset, use the data_dir argument of the load_dataset() function as follows:

from datasets import load_dataset

# Load the preference subset
data_files = {"train": "preference_train.json", "validation": "preference_val.json", "test": "preference_test.json"}
preference_dataset = load_dataset('MetaAligner/HH-RLHF-MetaAligner-Data', data_files=data_files)

# Load the equal-preference subset
data_files = {"train": "equal_train.json", "validation": "equal_val.json"}
equal_dataset = load_dataset('MetaAligner/HH-RLHF-MetaAligner-Data', data_files=data_files)

README history 20 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2024-04-30Update README.md806188e1.6 KB
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  2. 2024-04-30Update README.md6ebf8d91.6 KB
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  3. 2024-04-30Delete equal_preference160cd2121 B
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  4. 2024-04-30Create equal_preference/1592b4921 B
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  5. 2024-04-30Rename val.json to preference_val.json741f5f321 B
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  6. 2024-04-30Rename train.json to preference_train.json5a18fa121 B
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  7. 2024-04-30Rename test.json to preference_test.jsona23f2ef21 B
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  8. 2024-04-30Upload 3 filesd7fd31221 B
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  9. 2024-04-30Rename val.json to equal_val.json895224321 B
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  10. 2024-04-30Rename train.json to equal_train.jsond334b3221 B
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  11. 2024-04-30Upload 2 filesf55b35a21 B
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  12. 2024-04-30Delete preference_val.json20e977921 B
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  13. 2024-04-30Delete preference_train.jsonc197a4221 B
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  14. 2024-04-30Delete equal_val.jsonccb6c1a21 B
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  15. 2024-04-30Delete equal_train.json87d131f21 B
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  16. 2024-04-30Rename val.json to equal_val.jsondffb07421 B
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  17. 2024-04-30Rename train.json to equal_train.json4e204f421 B
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  18. 2024-04-30Upload 2 files52e1f1821 B
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  19. 2024-04-30Rename val.json to preference_val.json122e66821 B
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  20. 2024-04-30Upload val.json14f2d2121 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2024-05-01[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("MetaAligner/HH-RLHF-MetaAligner-Data")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="MetaAligner/HH-RLHF-MetaAligner-Data", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/MetaAligner/HH-RLHF-MetaAligner-Data
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