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hsicat/MNLP_M3_dpo_dataset

published by @hsicat

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
327
Last 30 days
10
Likes
-
Size
5.2 GB
Created on HF
2025-06-04
Age
1 years ago

Description

Dataset Card for "MNLP_M3_dpo_dataset_2"

This repo includes SFT training dataset and DPO training dataset.

SFT split: EricLu/SCP-116K, it is uploaded as a json file in data/.

DPO split: Combination of four datasets, preprocessed to explicit prompt format with conversational style.

EPFL dataset

jondurbin/py-dpo-v0.1

xinlai/Math-Step-DPO-10K

argilla/distilabel-intel-orca-dpo-pairs

Tags

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

README current version from Hugging Face

dataset_info:
features:

  • name: prompt
    list:
    • name: content
      dtype: string
    • name: role
      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: dataset
    dtype: string
    splits:
  • name: train
    num_bytes: 175997471
    num_examples: 53351
    download_size: 68605506
    dataset_size: 175997471
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

Dataset Card for "MNLP_M3_dpo_dataset_2"

This repo includes SFT training dataset and DPO training dataset.

README history 7 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. 2025-06-10Update README.md3f3a2881.2 KB
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  2. 2025-06-10Update README.mdd2de73d1.3 KB
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  3. 2025-06-10Upload SCP_116K_in_open_source_format.jsonlb9a8f10802 B
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  4. 2025-06-07Update README.md1d6f85e802 B
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  5. 2025-06-04Upload README.md with huggingface_hub5cf46f5772 B
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  6. 2025-06-04Upload data/train-00000-of-00001-c7de5d8b0052e979.parquet with huggingface_hub42dfe6d0 B
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  7. 2025-06-04initial commit294b34c0 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. 2025-06-11[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
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.

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("hsicat/MNLP_M3_dpo_dataset")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="hsicat/MNLP_M3_dpo_dataset", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/hsicat/MNLP_M3_dpo_dataset
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