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jpacifico/French-Orca-DPO-Mistral-12k

published by @jpacifico

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
833
Last 30 days
25
Likes
2
Size
27.3 MB
Created on HF
2024-06-23
Age
2 years ago

Description

Original dataset built using prompts from AIffl/french_orca_dpo_pairsRejected / Chosen responses generated byopen-mistral-7b and mistral-large-240211744 rows

Jonathan Pacifico, 2024

Tags

language:frsize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

language:

  • fr

Original dataset built using prompts from AIffl/french_orca_dpo_pairs
Rejected / Chosen responses generated by
open-mistral-7b and mistral-large-2402
11744 rows

Jonathan Pacifico, 2024

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. 2024-06-23initial commitb3222d20 B
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Used by abliterated models none yet

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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. 2024-07-14[bot] Conversion to Parquetopen1 💬#1
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Read further

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M4 - Abliterate then heal
Two-stage pipeline. DPO healing recovers benchmarks.
The politics of dataset curation
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Non-English abliteration communities
The Russian slop-removal framing and non-English healing corpora.

Repository

FILE .gitattributes FILE French-DPO-Mistral-12k.jsonl FILE README.md

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

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("jpacifico/French-Orca-DPO-Mistral-12k")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="jpacifico/French-Orca-DPO-Mistral-12k", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/jpacifico/French-Orca-DPO-Mistral-12k
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