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wannaphong/hh_rlhf_st

published by @wannaphong

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
120
Last 30 days
34
Likes
-
Size
116.0 MB
Created on HF
2023-10-16
Age
3 years ago

Description

Dataset Card for "hh_rlhf_st"

More Information needed

Tags

size_categories:100K<n<1Mformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


configs:

  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      dataset_info:
      features:
    • name: query
      dtype: string
    • name: pos
      dtype: string
    • name: neg
      dtype: string
      splits:
    • name: train
      num_bytes: 205386037
      num_examples: 160800
      download_size: 121606877
      dataset_size: 205386037

Dataset Card for "hh_rlhf_st"

More Information needed

README history 3 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. 2023-10-16Upload README.md with huggingface_hub4fbacd4511 B
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  2. 2023-10-16Upload data/train-00000-of-00001-255024b17ff513fe.parquet with huggingface_hubfb95d9b0 B
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  3. 2023-10-16initial commit651d4e50 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. 2024-08-07[bot] Conversion to Parquetopen1 💬#1
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Repository

Download the dataset

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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("wannaphong/hh_rlhf_st")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="wannaphong/hh_rlhf_st", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/wannaphong/hh_rlhf_st
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