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Sharathhebbar24/orca_dpo_pairs

published by @Sharathhebbar24

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
619
Last 30 days
9
Likes
-
Size
18.6 MB
Created on HF
2024-02-10
Age
2 years ago

Description

Intel Orca

This is a cleansed version of Intel/orca_dpo_pairs

Usage

from datasets import load_dataset

dataset = load_dataset("Sharathhebbar24/orca_dpo_pairs", split="train")

Tags

task_categories:text-generationlanguage:enlicense:apache-2.0size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

dataset_info:
features:

  • name: chosen
    dtype: string
  • name: rejected
    dtype: string
  • name: prompt
    dtype: string
    splits:
  • name: train
    num_bytes: 35237249
    num_examples: 12859
    download_size: 19474198
    dataset_size: 35237249
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      license: apache-2.0
      task_categories:
  • text-generation
    language:
  • en
    size_categories:
  • 10K<n<100K

Intel Orca

This is a cleansed version of Intel/orca_dpo_pairs

Usage

from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/orca_dpo_pairs", split="train")

README history 3 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. 2024-02-10Update README.md25647d4705 B
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  2. 2024-02-10Upload datasetd42171f352 B
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  3. 2024-02-10initial commit7e176de0 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. 2024-07-01PRLibrarian Bot: Add dpo tagopen1 💬#1
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Read further

Community best practices (healing)
4 rules on DPO/ORPO, GSM8K lag, CHES filtering, and what heal does not do.
M4 - Abliterate then heal
Two-stage pipeline. DPO healing recovers benchmarks.
The politics of dataset curation
Whose preferences are baked into the healing mix, and why it matters.
Non-English abliteration communities
The Russian slop-removal framing and non-English healing corpora.

Metadata

License
apache-2.0

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("Sharathhebbar24/orca_dpo_pairs")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Sharathhebbar24/orca_dpo_pairs", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Sharathhebbar24/orca_dpo_pairs
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