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germank/hh-rlhf_with_features_flan_t5_large_lll_relabeled

published by @germank

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
675
Last 30 days
14
Likes
-
Size
7.5 MB
Created on HF
2023-07-07
Age
3 years ago

Description

Dataset Card for "hh-rlhf_with_features_flan_t5_large_lll_relabeled"

More Information needed

Tags

size_categories:1K<n<10Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: chosen
    dtype: string
  • name: rejected
    dtype: string
  • name: helpfulness_chosen
    dtype: int64
  • name: helpfulness_rejected
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  • name: specificity_chosen
    dtype: int64
  • name: specificity_rejected
    dtype: int64
  • name: intent_chosen
    dtype: int64
  • name: intent_rejected
    dtype: int64
  • name: factuality_chosen
    dtype: int64
  • name: factuality_rejected
    dtype: int64
  • name: easy-to-understand_chosen
    dtype: int64
  • name: easy-to-understand_rejected
    dtype: int64
  • name: relevance_chosen
    dtype: int64
  • name: relevance_rejected
    dtype: int64
  • name: readability_chosen
    dtype: int64
  • name: readability_rejected
    dtype: int64
  • name: enough-detail_chosen
    dtype: int64
  • name: enough-detail_rejected
    dtype: int64
  • name: biased:_chosen
    dtype: int64
  • name: biased:_rejected
    dtype: int64
  • name: fail-to-consider-individual-preferences_chosen
    dtype: int64
  • name: fail-to-consider-individual-preferences_rejected
    dtype: int64
  • name: repetetive_chosen
    dtype: int64
  • name: repetetive_rejected
    dtype: int64
  • name: fail-to-consider-context_chosen
    dtype: int64
  • name: fail-to-consider-context_rejected
    dtype: int64
  • name: too-long_chosen
    dtype: int64
  • name: too-long_rejected
    dtype: int64
  • name: human
    dtype: string
  • name: assistant_chosen
    dtype: string
  • name: assistant_rejected
    dtype: string
  • name: log_score_chosen
    dtype: float64
  • name: log_score_rejected
    dtype: float64
  • name: labels
    dtype: string
    splits:
  • name: test
    num_bytes: 14386845
    num_examples: 9574
    download_size: 7852232
    dataset_size: 14386845

Dataset Card for "hh-rlhf_with_features_flan_t5_large_lll_relabeled"

More Information needed

README history 7 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. 2023-07-11Upload README.md with huggingface_hub73ae2c11.9 KB
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  2. 2023-07-11Delete data/test-00000-of-00001-a404a6c20e15aa7f.parquet with huggingface_hubed807bd1.9 KB
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  3. 2023-07-11Upload data/test-00000-of-00001-edc0f99ef754c32f.parquet with huggingface_hub42fdb881.9 KB
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  4. 2023-07-10Upload README.md with huggingface_hubf147cab1.9 KB
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  5. 2023-07-07Upload README.md with huggingface_hubd01c42b1.9 KB
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  6. 2023-07-07Upload data/test-00000-of-00001-a404a6c20e15aa7f.parquet with huggingface_hub78890c50 B
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  7. 2023-07-07initial commitc353b520 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. 2023-10-02PRreadme: add language tagopen1 💬#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("germank/hh-rlhf_with_features_flan_t5_large_lll_relabeled")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="germank/hh-rlhf_with_features_flan_t5_large_lll_relabeled", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/germank/hh-rlhf_with_features_flan_t5_large_lll_relabeled
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