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HuggingFaceH4/grok-conversation-harmless

published by @HuggingFaceH4

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
5.2K
Last 30 days
134
Likes
30
Size
54.3 MB
Created on HF
2024-01-22
Age
2 years ago

Description

Dataset Card for "cai-conversation-dev1705950597"

More Information needed

Tags

license:apache-2.0region:usnot-for-all-audiences

README current version from Hugging Face


license: apache-2.0
dataset_info:
features:

  • name: init_prompt
    dtype: string
  • name: init_response
    dtype: string
  • name: critic_prompt
    dtype: string
  • name: critic_response
    dtype: string
  • name: revision_prompt
    dtype: string
  • name: revision_response
    dtype: string
  • name: prompt
    dtype: string
  • name: messages
    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
      splits:
  • name: train_sft
    num_bytes: 64692005
    num_examples: 21268
  • name: train_prefs
    num_bytes: 64737329
    num_examples: 21269
  • name: test_sft
    num_bytes: 3504807
    num_examples: 1156
  • name: test_prefs
    num_bytes: 3554117
    num_examples: 1156
    download_size: 56903392
    dataset_size: 136488258
    configs:
  • config_name: default
    data_files:
    • split: train_sft
      path: data/train_sft-*
    • split: train_prefs
      path: data/train_prefs-*
    • split: test_sft
      path: data/test_sft-*
    • split: test_prefs
      path: data/test_prefs-*
      tags:
  • not-for-all-audiences

Dataset Card for "cai-conversation-dev1705950597"

More Information needed

README history 15 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. 2025-08-26Update README.md01185ad1.4 KB
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  2. 2024-02-02Update README.md389343f1.4 KB
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  3. 2024-01-22Upload constitution.json with huggingface_hub11459981.4 KB
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  4. 2024-01-22Upload create_dataset.py with huggingface_hubb4427431.4 KB
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  5. 2024-01-22Upload README.md with huggingface_hub67741a71.4 KB
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  6. 2024-01-22Upload data/test_prefs-00000-of-00001-7d990fd9e986c252.parquet with huggingfa...95bed681.3 KB
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  7. 2024-01-22Upload README.md with huggingface_hubb3fcba81.3 KB
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  8. 2024-01-22Upload data/test_sft-00000-of-00001-8e8f87780d2fd798.parquet with huggingface...5ef11821.1 KB
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  9. 2024-01-22Upload constitution.json with huggingface_hubf6f2bfc1.1 KB
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  10. 2024-01-22Upload create_dataset.py with huggingface_hub89f041f1.1 KB
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  11. 2024-01-22Upload README.md with huggingface_hub13541ec1.1 KB
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  12. 2024-01-22Upload data/train_prefs-00000-of-00001-63c23dbe1195f3b9.parquet with huggingf...f0e89361 KB
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  13. 2024-01-22Upload README.md with huggingface_hub0c8ff731 KB
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  14. 2024-01-22Upload data/train_sft-00000-of-00001-71f7b2a54cfc90b9.parquet with huggingfac...db369e50 B
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  15. 2024-01-22initial commit456cc420 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 2 threads · 2 open · 2 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. 2024-03-16Unfiltered versionopen1 💬#2
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  2. 2024-01-23[bot] Conversion to Parquetopen1 💬#1
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Related datasets same stage · misc

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Metadata

License
apache-2.0

Repository

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("HuggingFaceH4/grok-conversation-harmless")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="HuggingFaceH4/grok-conversation-harmless", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/HuggingFaceH4/grok-conversation-harmless
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