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manishiitg/argilla-distilabel-intel-orca-dpo-pairs

published by @manishiitg

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
829
Last 30 days
26
Likes
1
Size
116.6 MB
Created on HF
2024-01-20
Age
2 years ago

Tags

size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: system
    dtype: string
  • name: input
    dtype: string
  • name: chosen
    dtype: string
  • name: rejected
    dtype: string
  • name: generations
    sequence: string
  • name: order
    sequence: 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
    sequence: float64
  • name: rationale
    dtype: string
  • name: status
    dtype: string
  • name: original_chosen
    dtype: string
  • name: original_rejected
    dtype: string
  • name: chosen_score
    dtype: float64
  • name: in_gsm8k_train
    dtype: bool
  • name: question
    dtype: string
    splits:
  • name: train
    num_bytes: 389893816
    num_examples: 23644
    download_size: 122226877
    dataset_size: 389893816
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 12 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.

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  12. 2024-01-20initial commit91d8e990 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 2 threads · 2 open · 2 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. 2024-02-05PRadd distilabel and synthethic tagopen1 💬#2
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  2. 2024-01-24[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("manishiitg/argilla-distilabel-intel-orca-dpo-pairs")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="manishiitg/argilla-distilabel-intel-orca-dpo-pairs", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/manishiitg/argilla-distilabel-intel-orca-dpo-pairs
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