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ZachW/gpt-oss-20b_ifeval

published by @ZachW

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
121
Last 30 days
7
Likes
-
Size
2.9 MB
Created on HF
2026-04-27
Age
5 months ago

Description

openai/gpt-oss-20b — ifeval

Model outputs from the micro-creativity inference suite.

Model: openai/gpt-oss-20b

Dataset: ifeval (541 items)

Part of collection: ZachW/llm-creativity-benchmarks

Generation config

temperature: 0.0

max_tokens: 16384

seed: 42

backend: vllm

Columns

Column

Description

task_id

Unique task identifier

input

The exact prompt sent to the model (after meta-prompt application)

raw_output

Full model… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/gpt-oss-20b_ifeval.

Tags

task_categories:text-generationlanguage:enlicense:cc-by-4.0size_categories:n<1Kformat:parquetformat:optimized-parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usllm-outputscreativitymicro-creativity

README current version from Hugging Face


license: cc-by-4.0
task_categories:

  • text-generation
    language:
  • en
    tags:
  • llm-outputs
  • creativity
  • micro-creativity
    pretty_name: "openai/gpt-oss-20b on ifeval"
    dataset_info:
    num_rows: 541

openai/gpt-oss-20b — ifeval

Model outputs from the micro-creativity inference suite.

Generation config

temperature: 0.0
max_tokens:  16384
seed:        42
backend:     vllm

Columns

Column Description
task_id Unique task identifier
input The exact prompt sent to the model (after meta-prompt application)
raw_output Full model output string
thinking_content Extracted chain-of-thought / thinking block (null for non-thinking models)
final_answer Extracted final answer after thinking is removed
finish_reason stop (completed) or length (truncated at max_tokens)
prompt_tokens Number of tokens in the prompt
completion_tokens Number of tokens generated
temperature Sampling temperature used
max_tokens Token generation limit

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. 2026-04-27Upload README.md with huggingface_hub7811d8c1.2 KB
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  2. 2026-04-27Upload dataset433aeb51.8 KB
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  3. 2026-04-27Upload README.md with huggingface_hub735d06f1.2 KB
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  4. 2026-04-27Upload datasetcfb40eb645 B
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  5. 2026-04-27initial commite6e1c700 B
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Metadata

License
cc-by-4.0

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("ZachW/gpt-oss-20b_ifeval")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ZachW/gpt-oss-20b_ifeval", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/ZachW/gpt-oss-20b_ifeval
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