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argilla/intel-orca-dpo-pairs-helm-instruct

published by @argilla

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
698
Last 30 days
10
Likes
1
Size
76 KB
Created on HF
2024-02-29
Age
2 years ago

Tags

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

README current version from Hugging Face


dataset_info:
features:

  • name: prompt
    dtype: string
  • name: response
    dtype: string
  • name: labelling_model
    dtype: string
  • name: labelling_prompt
    list:
    • name: content
      dtype: string
    • name: role
      dtype: string
  • name: raw_labelling_response
    dtype: string
  • name: rating_Helpfulness
    dtype: float64
  • name: rationale_Helpfulness
    dtype: string
  • name: generations
    dtype: 'null'
  • name: rating_Understandability
    dtype: float64
  • name: rationale_Understandability
    dtype: string
  • name: rating_Completeness
    dtype: float64
  • name: rationale_Completeness
    dtype: string
  • name: rating_Conciseness
    dtype: float64
  • name: rationale_Conciseness
    dtype: string
  • name: rating_Harmlessness
    dtype: float64
  • name: rationale_Harmlessness
    dtype: string
    splits:
  • name: train
    num_bytes: 34385
    num_examples: 5
    download_size: 63840
    dataset_size: 34385
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 5 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. 2024-02-29Upload distilabel-task.json with huggingface_hub65902d51 KB
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  2. 2024-02-29Upload datasete5514c01 KB
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  3. 2024-02-29Upload distilabel-task.json with huggingface_hub2d98310855 B
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  4. 2024-02-29Upload datasete8e3db8855 B
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  5. 2024-02-29initial commit53a53a20 B
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Used by abliterated models none yet

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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("argilla/intel-orca-dpo-pairs-helm-instruct")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="argilla/intel-orca-dpo-pairs-helm-instruct", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/argilla/intel-orca-dpo-pairs-helm-instruct
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