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open-athena/nemotron-gym-inverse-ifeval

published by @open-athena

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
67
Last 30 days
64
Likes
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Size
4.5 MB
Created on HF
2026-09-04
Age
1 months ago

Description

laion/nemotron-gym-inverse-ifeval

Harbor task-binary dataset (1,000 tasks) converted from nvidia/Nemotron-RL-InverseIFEval-v1

(part of the nvidia/Nemotron-Post-Training-v3 collection).

Each row is a valid Harbor

task binary: columns path (str) and task_binary (gzip tar). Converted with the

OpenThoughts-Agent data.nemotron_gym framework.

Grading: Multi-criterion LLM judge (all YES); needs OPENAI_API_KEY at trial.

Tags

task_categories:text-generationlicense:apache-2.0size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantlibrary:harborregion:usagentharborreinforcement-learningnemotron

README current version from Hugging Face

license: apache-2.0
task_categories:

  • text-generation
    tags:
  • agent
  • harbor
  • reinforcement-learning
  • nemotron

laion/nemotron-gym-inverse-ifeval

Harbor task-binary dataset (1,000 tasks) converted from nvidia/Nemotron-RL-InverseIFEval-v1
(part of the nvidia/Nemotron-Post-Training-v3 collection).

Each row is a valid Harbor
task binary: columns path (str) and task_binary (gzip tar). Converted with the
OpenThoughts-Agent data.nemotron_gym framework.

Grading: Multi-criterion LLM judge (all YES); needs OPENAI_API_KEY at trial.

README history 2 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. 2026-09-04Move from laion/nemotron-gym-inverse-ifeval (org migration)07bb816684 B
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  2. 2026-09-04initial commit3484ed50 B
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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.

Metadata

License
apache-2.0

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("open-athena/nemotron-gym-inverse-ifeval")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="open-athena/nemotron-gym-inverse-ifeval", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/open-athena/nemotron-gym-inverse-ifeval
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