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arcee-ai/categorized-distilabel-intel-orca-dpo-pairs-binarized

published by @arcee-ai

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
508
Last 30 days
9
Likes
-
Size
13.2 MB
Created on HF
2024-06-21
Age
2 years ago

Tags

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

README current version from Hugging Face

dataset_info:
features:

  • name: id
    dtype: string
  • name: source
    dtype: string
  • name: system
    dtype: string
  • name: question
    dtype: string
  • name: chosen
    list:
    • name: content
      dtype: string
    • name: role
      dtype: string
  • name: rejected
    list:
    • name: content
      dtype: string
    • name: role
      dtype: string
  • name: Category
    dtype: string
    splits:
  • name: train
    num_bytes: 26928666
    num_examples: 5922
    download_size: 13888333
    dataset_size: 26928666
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 8 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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  8. 2024-06-21initial commit8fc93730 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. 2024-06-25[bot] Conversion to Parquetopen1 💬#1
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Read further

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The Russian slop-removal framing and non-English healing corpora.

Repository

DIR data FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

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("arcee-ai/categorized-distilabel-intel-orca-dpo-pairs-binarized")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="arcee-ai/categorized-distilabel-intel-orca-dpo-pairs-binarized", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/arcee-ai/categorized-distilabel-intel-orca-dpo-pairs-binarized
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