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jan-hq/orca_dpo_binarized

published by @jan-hq

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
485
Last 30 days
8
Likes
1
Size
23.2 MB
Created on HF
2024-01-09
Age
2 years ago

Description

Dataset Card for "orca_dpo_binarized"

More Information needed

Tags

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

README current version from Hugging Face

configs:

  • config_name: default
    data_files:
    • split: train
      path: data/train-*
    • split: test
      path: data/test-*
      dataset_info:
      features:
    • name: chosen
      list:
      • name: content
        dtype: string
      • name: role
        dtype: string
    • name: rejected
      list:
      • name: content
        dtype: string
      • name: role
        dtype: string
        splits:
    • name: train
      num_bytes: 42576577.4042305
      num_examples: 11573
    • name: test
      num_bytes: 4731139.5957695
      num_examples: 1286
      download_size: 24313742
      dataset_size: 47307717.0

Dataset Card for "orca_dpo_binarized"

More Information needed

README history 4 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. 2024-01-09Upload README.md with huggingface_hubbd7d816744 B
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  2. 2024-01-09Upload data/test-00000-of-00001-3b93a57f4f887506.parquet with huggingface_hubc5a1dc80 B
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  3. 2024-01-09Upload data/train-00000-of-00001-8a88250fd0a61266.parquet with huggingface_hub375c86e0 B
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  4. 2024-01-09initial commit97112dc0 B
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Used by abliterated models none yet

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

Repository

DIR data 2 files 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("jan-hq/orca_dpo_binarized")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="jan-hq/orca_dpo_binarized", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/jan-hq/orca_dpo_binarized
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