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ontocord/Dolci-Think-RL-7B-decontaminated

published by @ontocord

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
327
Last 30 days
6
Likes
-
Size
1.5 GB
Created on HF
2026-03-06
Age
7 months ago

Description

Dolci-Think-RL-7B-decontaminated

Decontaminated version of allenai/Dolci-Think-RL-7B.

Decontamination Details

Method: 13-gram overlap detection

Original samples: 102,014

Cleaned samples: 100,924

Removed samples: 1,090 (1.07%)

Benchmarks Checked

MMLU, Ifeval, ARC, COPA, LAMBADA, OpenBookQA, Winogrande, BoolQ, HellaSwag, PIQA, Gsm8k, ALERT, GPQA, MATH, MBPP, HumanEval, SimpleQA, CommonsenseQA, DoNotAnswer, AIME24, LiveCodeBench, MATH500

Tags

license:apache-2.0size_categories:100K<n<1Mformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:usdecontaminated

README current version from Hugging Face

dataset_info:
config_name: default
splits:
- name: train
num_examples: 100924
license: apache-2.0
tags:

  • decontaminated

Dolci-Think-RL-7B-decontaminated

Decontaminated version of allenai/Dolci-Think-RL-7B.

Decontamination Details

  • Method: 13-gram overlap detection
  • Original samples: 102,014
  • Cleaned samples: 100,924
  • Removed samples: 1,090 (1.07%)

Benchmarks Checked

MMLU, Ifeval, ARC, COPA, LAMBADA, OpenBookQA, Winogrande, BoolQ, HellaSwag, PIQA, Gsm8k, ALERT, GPQA, MATH, MBPP, HumanEval, SimpleQA, CommonsenseQA, DoNotAnswer, AIME24, LiveCodeBench, MATH500

README history 5 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. 2026-03-06Upload README.md with huggingface_hub04e6308682 B
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  2. 2026-03-06Upload scan_summary.json with huggingface_hub800e6060 B
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  3. 2026-03-06Upload decontamination_summary.json with huggingface_hub63cc78c0 B
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  4. 2026-03-06Upload folder using huggingface_hub214e1ec0 B
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  5. 2026-03-06initial commitdfab75c0 B
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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.
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The 12 classification rules that assign M1-M8 to every model.
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The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License
apache-2.0

Repository

DIR data 10 files FILE .gitattributes FILE decontamination_summary.json FILE README.md FILE scan_summary.json

File contents live on Hugging Face. Click a file or folder to open it there.

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("ontocord/Dolci-Think-RL-7B-decontaminated")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ontocord/Dolci-Think-RL-7B-decontaminated", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/ontocord/Dolci-Think-RL-7B-decontaminated
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