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penfever/meta-llama_Llama-3.1-8B-Instruct-jdgfct-Harmlessness

published by @penfever

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
687
Last 30 days
268
Likes
-
Size
7.5 GB
Created on HF
2025-02-03
Age
1 years ago

Tags

size_categories:100K<n<1Mformat:parquetmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: conversation_hash
    dtype: string
  • name: conversation
    list:
    • name: content
      dtype: string
    • name: content_token_ids
      sequence: int64
    • name: country
      dtype: 'null'
    • name: cumulative_logprob
      dtype: 'null'
    • name: finish_reason
      dtype: string
    • name: hashed_ip
      dtype: string
    • name: header
      dtype: 'null'
    • name: judgment_google_gemma-2-27b-it_conversation_Harmlessness_content
      dtype: string
    • name: judgment_google_gemma-2-27b-it_conversation_Harmlessness_cumulative_logprob
      dtype: string
    • name: judgment_google_gemma-2-27b-it_conversation_Harmlessness_logprob
      dtype: string
    • name: language
      dtype: 'null'
    • name: redacted
      dtype: 'null'
    • name: role
      dtype: string
    • name: state
      dtype: 'null'
    • name: timestamp
      dtype: 'null'
    • name: toxic
      dtype: bool
    • name: turn_identifier
      dtype: 'null'
  • name: model
    dtype: string
    splits:
  • name: train
    num_bytes: 42770609275.0
    num_examples: 983991
    download_size: 8066687032
    dataset_size: 42770609275.0
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 1 revision

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. 2026-04-13Reset repository without checkpoints directories6cc91b41.2 KB
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Used by abliterated models none yet

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Read further

Repository

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("penfever/meta-llama_Llama-3.1-8B-Instruct-jdgfct-Harmlessness")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="penfever/meta-llama_Llama-3.1-8B-Instruct-jdgfct-Harmlessness", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/penfever/meta-llama_Llama-3.1-8B-Instruct-jdgfct-Harmlessness
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