constraint
IF_multi_constraints_upto5
Dataset
This is the IF-RLVR training data, with up to 5 constraints per instruction. The constraints are sampled from IFEval (25) and IFBench-Train (29).
License
This dataset is licensed under ODC-BY-1.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines. This dataset includes output data generated from third party models that are subject to separate terms governing their use.
Citation
Please cite:… See the full description on the dataset page: https://huggingface.co/datasets/allenai/IF_multi_constraints_upto5.RLVR-GSM-MATH-IF-Mixed-Constraints
GSM/MATH/IF Data - RLVR Formatted
Note that this collection is licensed under ODC-BY-1.0 license; different licenses apply to subsets of the data.
This dataset contains data formatted for use with open-instruct - specifically reinforcement learning with verifiable rewards.
It was used to train the final Tulu 3 models with RL, and contains the following subsets:
GSM8k (7,473 samples): The GSM8k train set formatted for use with RLVR and open-instruct. MIT License.
MATH (7,500… See the full description on the dataset page: https://huggingface.co/datasets/allenai/RLVR-GSM-MATH-IF-Mixed-Constraints.starling-transfer-shared-eval-no-constraints-no-source-value-train-2p5pct-stratifiedstarling-transfer-shared-eval-no-constraints-source-value-train-2p5pct-stratifiedagi-biospheric-10-constraints
AGI Biospheric — 10 Core Biospheric Constraints and 52 Interdependencies
Overview
AGI Biospheric is a bilingual (French / English) structured dataset modeling 10 core biospheric constraints and 52 direct interdependencies relevant to long-term reflection on AGI alignment, ecological limits, civilizational resilience, and the material conditions of intelligence.
This repository is the first public machine-readable release of the AGI Biospheric framework. It should… See the full description on the dataset page: https://huggingface.co/datasets/Cedre83/agi-biospheric-10-constraints.vea-if-constraint-class
geodesic-research/vea-if-constraint-class
Auto-generated by dataset-builder.
Each config below is a separate dataset produced from a versioned YAML build
config. Load with:
from datasets import load_dataset
ds = load_dataset("geodesic-research/vea-if-constraint-class", "<config_name>", revision="<commit-sha>")
Pin revision= to the specific commit SHA you want; without it, you get the
current HEAD of the dataset repo, which may change when the builder re-pushes.… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/vea-if-constraint-class.