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marcodsn/crucible

published by @marcodsn

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
188
Last 30 days
23
Likes
1
Size
22.2 MB
Created on HF
2026-06-27
Age
3 months ago

Description

crucible

A mixed prompt dataset combining reasoning and creative writing, for model distillation.

Total prompts: 37,460

By task type

task_type

rows

verifiable_math

10,736

Artistic - Creative & Narrative Writing

7,503

no_verification

3,055

prime_rl_code

2,585

ifeval

1,794

code_output_prediction

1,712

complex_json_output

1,105

Finance & Business - Strategic Planning and Analysis

868

reasoning_gym

835

Science & Engineering - Analytical… See the full description on the dataset page: https://huggingface.co/datasets/marcodsn/crucible.

Tags

size_categories:10K<n<100Kformat:parquetformat:optimized-parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

dataset_info:
features:

  • name: prompt
    dtype: string
  • name: source
    dtype: string
  • name: lang
    dtype: string
  • name: task_type
    dtype: string
    splits:
  • name: train
    num_bytes: 44631938
    num_examples: 37460
    download_size: 23251781
    dataset_size: 44631938
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

crucible

A mixed prompt dataset combining reasoning and creative writing, for model distillation.

Total prompts: 37,460

By task type

task_type rows
verifiable_math 10,736
Artistic - Creative & Narrative Writing 7,503
no_verification 3,055
prime_rl_code 2,585
ifeval 1,794
code_output_prediction 1,712
complex_json_output 1,105
Finance & Business - Strategic Planning and Analysis 868
reasoning_gym 835
Science & Engineering - Analytical Writing 826
Education & Teaching 529
Artistic - Essay Writing & Topic/Argument Writing 521
Non-Science & Non-Engineering Scholarly Paper Writing 508
Science & Engineering - Technical Research Writing 495
Artistic - Analytical & Critical Writing 486
Advertising & Marketing - Content Writing 443
Ordinary Life - Practical & Real-World Guidance 431
Artistic - Scriptwriting for Media & Performance 390
Ordinary Life - Analytical & Creative Reasoning 312
unscramble_sentence 293
Finance & Business - Proposals & Persuasion 291
pydantic_adherance 289
Law - Legal Guidance & Analysis 241
Finance & Business - Reporting & Performance Review 209
Ordinary Life - Factual QAs 189
Science & Engineering - Engineering Report Writing 162
Advertising & Marketing - Promotional Writing 120
Politics 119
Finance & Business - Operational Communication & Agreements 105
Others 104
Advertising & Marketing - Brand Strategy & Identity 81
Law - Judicial & Procedural Documents 67
ascii_tree_formatting 25
Advertising & Marketing - Customer Review & Feedback 20
Science & Engineering - Patent Writing 11

By language

lang rows
en 27,883
de 1,948
fr 1,947
ja 1,945
it 1,944
zh 1,793

Sources

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.

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  3. 2026-06-28Upload datasetbd6d92e946 B
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  4. 2026-06-27Update README.mdfbf20e9946 B
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  5. 2026-06-27Upload datasetafb19bc383 B
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  6. 2026-06-27initial commitc8d5adf0 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. 2026-06-28[bot] Conversion to Parquetopen1 💬#1
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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 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("marcodsn/crucible")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="marcodsn/crucible", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/marcodsn/crucible
Browse repository on Hugging Face ->
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