Get the app
evaluate 0 0 0

PhillipGuo/mistral_7b_prompt_completion_dataset

published by @PhillipGuo

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.9K
Last 30 days
46
Likes
-
Size
27.7 MB
Created on HF
2024-09-19
Age
2 years ago

Description

TEST TEST

dataset_info:

features:

- name: prompt

dtype: string

- name: completion

dtype: string

splits:

- name: wildchat

num_bytes: 2689801

num_examples: 500

- name: or_bench

num_bytes: 673035

num_examples: 500

- name: mt_bench

num_bytes: 161868

num_examples: 80

- name: DirectRequest

num_bytes: 371709

num_examples: 139

- name: HumanJailbreaks

num_bytes: 771122

num_examples: 178

- name: TAP_T… See the full description on the dataset page: https://huggingface.co/datasets/PhillipGuo/mistral_7b_prompt_completion_dataset.

Tags

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

README current version from Hugging Face

TEST TEST

dataset_info:
features:

  • name: prompt
    dtype: string
  • name: completion
    dtype: string
    splits:
  • name: wildchat
    num_bytes: 2689801
    num_examples: 500
  • name: or_bench
    num_bytes: 673035
    num_examples: 500
  • name: mt_bench
    num_bytes: 161868
    num_examples: 80
  • name: DirectRequest
    num_bytes: 371709
    num_examples: 139
  • name: HumanJailbreaks
    num_bytes: 771122
    num_examples: 178
  • name: TAP_T
    num_bytes: 619446
    num_examples: 206
  • name: GCG_T
    num_bytes: 503848
    num_examples: 204
  • name: GCG
    num_bytes: 513879
    num_examples: 212
  • name: circuit_breakers_refusal_train
    num_bytes: 1607071
    num_examples: 4994
  • name: circuit_breakers_harmful_train
    num_bytes: 9916957
    num_examples: 4994
  • name: circuit_breakers_refusal_val
    num_bytes: 2846121
    num_examples: 3330
  • name: circuit_breakers_harmful_val
    num_bytes: 7371318
    num_examples: 3330
  • name: ultrachat_train
    num_bytes: 12652472
    num_examples: 5000
  • name: ultrachat_test
    num_bytes: 2484194
    num_examples: 1000
  • name: xstest
    num_bytes: 9616350
    num_examples: 11500
  • name: wildchat_train
    num_bytes: 3784225
    num_examples: 680
  • name: or_bench_train
    num_bytes: 1993701
    num_examples: 1500
    download_size: 29008569
    dataset_size: 58577117
    configs:
  • config_name: default
    data_files:
    • split: wildchat
      path: data/wildchat-*
    • split: or_bench
      path: data/or_bench-*
    • split: mt_bench
      path: data/mt_bench-*
    • split: DirectRequest
      path: data/DirectRequest-*
    • split: HumanJailbreaks
      path: data/HumanJailbreaks-*
    • split: TAP_T
      path: data/TAP_T-*
    • split: GCG_T
      path: data/GCG_T-*
    • split: GCG
      path: data/GCG-*
    • split: circuit_breakers_refusal_train
      path: data/circuit_breakers_refusal_train-*
    • split: circuit_breakers_harmful_train
      path: data/circuit_breakers_harmful_train-*
    • split: circuit_breakers_refusal_val
      path: data/circuit_breakers_refusal_val-*
    • split: circuit_breakers_harmful_val
      path: data/circuit_breakers_harmful_val-*
    • split: ultrachat_train
      path: data/ultrachat_train-*
    • split: ultrachat_test
      path: data/ultrachat_test-*
    • split: xstest
      path: data/xstest-*
    • split: wildchat_train
      path: data/wildchat_train-*
    • split: or_bench_train
      path: data/or_bench_train-*

README history 6 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. 2025-05-02Update README.mdfa968032.4 KB
    Loading...
  2. 2024-10-02Upload dataset68937052.4 KB
    Loading...
  3. 2024-09-24Upload datasetcf57c082.1 KB
    Loading...
  4. 2024-09-20Upload dataset124d6eb2.1 KB
    Loading...
  5. 2024-09-20Upload datasetf37fd692 KB
    Loading...
  6. 2024-09-20initial commitab55c9c0 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 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. 2024-09-25[bot] Conversion to Parquetopen1 💬#2
    Loading...
  2. 2024-09-21PRLibrarian Bot: Add language metadata for datasetopen1 💬#1
    Loading...

Continue on Hugging Face →

Related datasets same stage · evaluate

google/IFEval
1.7M dl 182 likes 210 KB
Dataset Card for IFEval Dataset Summary This dataset contains the prompts used in the Instruction-Following Ev...
JailbreakBench/JBB-Behaviors
418.2K dl 143 likes 992 KB
An Open Robustness Benchmark for Jailbreaking Language Models NeurIPS 2024 Datasets and Benchmarks Track P...
Beijing-AISI/panda-bench
195.6K dl 3.1 GB
PandaBench PandaBench is a comprehensive benchmark for evaluating Large Language Model (LLM) safety, focusing on jailbreak atta...
allenai/wildguardmix
137.3K dl 108 likes 53.4 MB
Dataset Card for WildGuardMix Disclaimer: The data includes examples that might be disturbing, harmful or upsetting....
walledai/HarmBench
135.7K dl 59 likes 109 KB
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal Paper: HarmBench: A Standardized Ev...
walledai/XSTest
108.3K dl 30 likes 22 KB
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models Paper: XSTest: A Test Suite for Ide...
bench-llm/or-bench
77.2K dl 22 likes 32.1 MB
OR-Bench: An Over-Refusal Benchmark for Large Language Models Please see our demo at HuggingFace Spaces. Overall P...
argilla/magpie-ultra-v1.0
65.5K dl 53 likes 20.7 GB
Dataset Card for magpie-ultra-v1.0 This dataset has been created with distilabel. Dataset Summary magpie...

Read further

Community best practices (evaluation)
4 rules on judges, benchmarks, and reporting.
Reference-set drift over time
Why the same benchmark means different things across model generations.
How we label the method for each model
The 12 classification rules that assign M1-M8 to every model.
Non-English abliteration communities
The Korean scepticism about one-click tools and non-English benchmark blindspots.

Repository

DIR data 17 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("PhillipGuo/mistral_7b_prompt_completion_dataset")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="PhillipGuo/mistral_7b_prompt_completion_dataset", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/PhillipGuo/mistral_7b_prompt_completion_dataset
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