Get the app
misc 0 0 0

vwxyzjn/cai-conversation-prod-h4-harmless

published by @vwxyzjn

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.3K
Last 30 days
26
Likes
-
Size
49.9 MB
Created on HF
2023-11-30
Age
2 years ago

Description

Dataset Card for "cai-conversation-prod-h4-harmless"

More Information needed

Tags

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

README current version from Hugging Face

configs:

  • config_name: default
    data_files:
    • split: train_sft
      path: data/train_sft-*
    • split: test_sft
      path: data/test_sft-*
    • split: train_prefs
      path: data/train_prefs-*
    • split: test_prefs
      path: data/test_prefs-*
      dataset_info:
      features:
    • name: index
      dtype: int64
    • name: prompt
      dtype: string
    • name: init_prompt
      struct:
      • name: content
        dtype: string
      • name: role
        dtype: string
    • name: init_response
      struct:
      • name: content
        dtype: string
      • name: role
        dtype: string
    • name: critic_prompt
      struct:
      • name: content
        dtype: string
      • name: role
        dtype: string
    • name: critic_response
      struct:
      • name: content
        dtype: string
      • name: role
        dtype: string
    • name: revision_prompt
      struct:
      • name: content
        dtype: string
      • name: role
        dtype: string
    • name: revision_response
      struct:
      • name: content
        dtype: string
      • name: role
        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: 80509011.39550994
      num_examples: 21289
    • name: test_sft
      num_bytes: 4409523.340505145
      num_examples: 1156
    • name: train_prefs
      num_bytes: 80509011.39550994
      num_examples: 21289
    • name: test_prefs
      num_bytes: 4413337.807062675
      num_examples: 1157
      download_size: 52332286
      dataset_size: 169840883.93858773

Dataset Card for "cai-conversation-prod-h4-harmless"

More Information needed

README history 13 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. 2023-12-01Upload create_dataset.py with huggingface_hubcf9b1bd1.9 KB
    Loading...
  2. 2023-12-01Upload README.md with huggingface_hub9dcc7151.9 KB
    Loading...
  3. 2023-12-01Upload data/test_prefs-00000-of-00001-b32719b2b3dc2953.parquet with huggingfa...2759f731.6 KB
    Loading...
  4. 2023-12-01Upload data/train_prefs-00000-of-00001-b7199b4f1b382a3a.parquet with huggingf...306d6481.6 KB
    Loading...
  5. 2023-12-01Delete data/test_sft-00000-of-00001-d30d982030531ba5.parquet with huggingface...34ceb4f1.6 KB
    Loading...
  6. 2023-12-01Upload data/test_sft-00000-of-00001-4f174cbb5234253b.parquet with huggingface...cb7ae791.6 KB
    Loading...
  7. 2023-12-01Delete data/train_sft-00000-of-00001-2b21db5ca4762d5b.parquet with huggingfac...a283fb81.6 KB
    Loading...
  8. 2023-12-01Upload data/train_sft-00000-of-00001-3a762d6ef7fa5f50.parquet with huggingfac...7edacf31.6 KB
    Loading...
  9. 2023-11-30Upload create_dataset.py with huggingface_hub75666591.6 KB
    Loading...
  10. 2023-11-30Upload README.md with huggingface_hubd9877fc1.6 KB
    Loading...
  11. 2023-11-30Upload data/test_sft-00000-of-00001-d30d982030531ba5.parquet with huggingface...2ce80a00 B
    Loading...
  12. 2023-11-30Upload data/train_sft-00000-of-00001-2b21db5ca4762d5b.parquet with huggingfac...a0d8cb20 B
    Loading...
  13. 2023-11-30initial commit29c88190 B
    Loading...

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. 2023-12-01[bot] Conversion to Parquetopen1 💬#1
    Loading...

Continue on Hugging Face →

Related datasets same stage · misc

nvidia/Aegis-AI-Content-Safety-Dataset-2.0
99.3K dl 114 likes 27.1 MB
🛡️ Nemotron Content Safety Dataset V2 The Nemotron Content Safety Dataset V2, formerly known as Aegis AI Content Safety Data...
allenai/tulu-3-sft-personas-instruction-following
88.4K dl 70 likes 37.4 MB
Dataset Descriptions This dataset contains 29980 examples and is synthetically created to enhance model's capabilities to follo...
meta-llama/Llama-3.1-8B-Instruct-evals
73.2K dl 36 likes 232.9 MB
Dataset Card for Llama-3.1-8B-Instruct Evaluation Result Details This dataset contains the Meta evaluation result details for...
Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset
58.3K dl 226 likes 10.8 GB
📖 The Open Distillation Codex 🌌 The Ultimate Open-Source Distillation Dataset — No Skip, Full, with Attack & Defe...
nvidia/Aegis-AI-Content-Safety-Dataset-1.0
36.1K dl 63 likes 5.2 MB
🛡️ Nemotron Content Safety Dataset V1 Nemotron Content Safety Dataset V1, formerly known as Aegis AI Content Safety Dataset, i...
innodatalabs/rt-gsm8k-gaia
35.9K dl 15 KB
rt-gsm8k dataset Red teaming gsm8k-gaia dataset. Generated from the "GSM8K" dataset and "GAIA" dataset. Dataset Str...
HuggingFaceH4/hhh_alignment
35.3K dl 27 likes 266 KB
This task evaluates language models on alignment, broken down into categories of helpfulness, honesty/accuracy, harmlessness, and ...
ethz-spylab/rlhf_trojan_dataset
26.2K dl 6 likes 29.9 MB
Dataset for the competition This is the official dataset for the competition "Find the Trojan: Universal Backdoor Detection in ...

Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Repository

DIR data 4 files FILE .gitattributes FILE create_dataset.py 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("vwxyzjn/cai-conversation-prod-h4-harmless")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="vwxyzjn/cai-conversation-prod-h4-harmless", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/vwxyzjn/cai-conversation-prod-h4-harmless
Browse repository on Hugging Face ->
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Get the app Browse the catalog
Open in Abliteration