datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.diffusion_data_constraint_c4subsetsgnomad_constraintquantization-as-a-transfer-constraint
Quantization as a Transfer Constraint: Zero-Shot Learning-Rate Transfer Survives Low Precision, but muP's Stability Margin Collapses
Author: Shubhankar Kahali - Trumbo Labs, Inc - shubhankar@trumbo.dev
License: CC BY 4.0
Paper: paper/quant_transfer_arxiv.pdf
Abstract
Maximal update parametrization (muP) licenses zero-shot hyperparameter transfer in exact arithmetic, but low-precision training perturbs precisely the coordinate magnitudes muP is designed to keep… See the full description on the dataset page: https://huggingface.co/datasets/xedro98/quantization-as-a-transfer-constraint.IF_multi_constraints_upto5_SFT
Description
This dataset was derived from the allenai/IF_multi_constraints_upto5 constrained instruction-following dataset, adapting it for supervised fine-tuning. Responses were generated with google/gemma-4-31B-it and then filtered to retain only high-quality examples. The final dataset includes only samples with a minimum loose score of 1.0 and a minimum strict score of 0.8 according to the official IFBench evaluator. Maximum response length was limited to 1024 tokens, all… See the full description on the dataset page: https://huggingface.co/datasets/UniLu/IF_multi_constraints_upto5_SFT.constraint-genalpacaeval_add_constraint_2turns_as_single_turnconstraint-sat-1000
Constraint Satisfaction Reasoning Dataset
A dataset for training and evaluating logical reasoning capabilities in LLMs through constraint satisfaction problems.
📝 Dataset Overview
Domain: Multi-step logical reasoning / constraint satisfaction / schedulingSize: 1000 examples (uniquely solvable puzzles with step-by-step reasoning)Format: Natural language constraint satisfaction puzzles with structured solutionsGeneration: Algorithmically created with guaranteed… See the full description on the dataset page: https://huggingface.co/datasets/strickvl/constraint-sat-1000.africa-drc-humanitarian-access-constraints-due-to-covid-19-pandemic-03afff6f
Humanitarian Access Constraints due to COVID-19 Pandemic | Africa (DRC official open data)
52 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Humanitarian Access Constraints due to… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-humanitarian-access-constraints-due-to-covid-19-pandemic-03afff6f.alpacaeval_just_constraint_2turns_as_single_turnreasoning-constraint-loss-attribution-v0.1
Reasoning Constraint Loss Attribution v0.1
A SIOS research dataset for identifying when a governing constraint ceases to regulate a reasoning trajectory, locating the first point of loss, attributing the lost constraint, and identifying the structural mechanism that produced the loss.
Repository:
ClarusC64/reasoning-constraint-loss-attribution-v0.1
Version:
0.1.0
Publisher:
Clarus Invariant
Framework:
SIOS
Dataset identity
Reasoning Constraint Loss Attribution… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/reasoning-constraint-loss-attribution-v0.1.text2svg-stack-follow-constraintsThis dataset is derived from starvector/text2svg-stack. All rows whcihc do not follow svg_constraints for the kaggle drawing-with-llms competition are removed
africa-drc-humanitarian-access-constraints-due-to-covid-19-pandemic-6ca89071
Humanitarian Access Constraints due to COVID-19 Pandemic | Africa (DRC official open data)
1,127 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Humanitarian Access Constraints due to… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-humanitarian-access-constraints-due-to-covid-19-pandemic-6ca89071.prompts_with_constraints_for_ground_truthai-constraint-relay
AI Infrastructure: Commitments, Delivery and Access
Purpose: route readers to the current paper and its executable evidence bundle.
Version: v7.1. Concept DOI.
This work was produced through an AI-assisted workflow directed by the author.
The paper examines selected disclosed commitments, delivery stages and access obligations across the US, EU and UK. It uses dated records assembled through 14 September 2026, with later Irish-process clarifications. It does not establish an… See the full description on the dataset page: https://huggingface.co/datasets/NMAIResearch/ai-constraint-relay.data-kit-sub-iwslt2025-if-long-constraint
Data for KIT’s Instruction Following Submission for IWSLT 2025
This repo contains the data used to train our model for IWSLT 2025's Instruction-Following (IF) Speech Processing track.
IWSLT 2025's Instruction-Following (IF) Speech Processing track in the scientific domain aims to benchmark foundation models that can follow natural
language instructions—an ability well-established in textbased LLMs but still emerging in speech-based counterparts. Our approach employs an end-to-end… See the full description on the dataset page: https://huggingface.co/datasets/maikezu/data-kit-sub-iwslt2025-if-long-constraint.FishCaduceus-Evolutionary-Constraint-Benchmark
FishCaduceus Evolutionary Constraint Benchmark
Dataset description
This dataset contains sequence-based benchmarks for evaluating whether FishCaduceus representations capture evolutionary constraint in fish genomes.
Constraint labels were derived from a 26-fish whole-genome alignment generated with Progressive Cactus. Grass carp (Ctenopharyngodon idella) was used as the primary reference genome for defining aligned and conserved positions. The resulting labeled… See the full description on the dataset page: https://huggingface.co/datasets/FishCaduceus/FishCaduceus-Evolutionary-Constraint-Benchmark.saelarien-constraint-experiment-02-swarm-coherence-breakdown
Saelarien Constraint Experiment 02
Swarm Coordination Breakdown Under Adversarial Conditions
Summary
This dataset provides a parameterized simulation of distributed swarm systems under increasing coordination pressure, communication degradation, and adversarial noise.
It captures the transition from stable coordination to coherence failure as system load exceeds the system’s ability to reconcile state across agents.
The dataset is designed to surface failure… See the full description on the dataset page: https://huggingface.co/datasets/Saelarien/saelarien-constraint-experiment-02-swarm-coherence-breakdown.IF-multi-constraints-upto5-LFM2.5-prompts
IF_multi_constraints_upto5 → LFM2.5 prompt format (for RLVR / rejection sampling / DPO)
A derivative of allenai/IF_multi_constraints_upto5 (odc-by)
normalized for fine-tuning Liquid AI LFM2 / LFM2.5 models, whose native tool-call format is Pythonic:
<|im_start|>assistant
<|tool_call_start|>[get_weather(location='Paris, France', unit='celsius')]<|tool_call_end|><|im_end|>
Prompt-only rows (prompt_only = true): Tulu-SFT instructions with up to 5 verifiable constraints from IFEval… See the full description on the dataset page: https://huggingface.co/datasets/hungbenjamin402/IF-multi-constraints-upto5-LFM2.5-prompts.reasoning-sft-IF_multi_constraints_upto5
reasoning-sft-IF_multi_constraints_upto5
Instruction-following dataset with multi-constraint prompts (up to 5 constraints), paired with reasoning responses generated.
Format
Each row has three columns:
input — list of dicts [{"role": "user", "content": "..."}, ...]
response — model response string (includes <think> reasoning block)
category — constraint category label
Usage
import random
import pyarrow.parquet as pq
from huggingface_hub import hf_hub_download… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-IF_multi_constraints_upto5.hiermem-constraint-tracking
HierMem Constraint Tracking Release v1
Canonical release bundle for the synthetic long-horizon constraint-tracking dataset used in the HierMem paper.
Contents
data/: cleaned conversation JSON files
dataset_manifest.json: file list, checksums, and summary metadata
dataset_card.md: Hugging Face-style dataset card
publish_steps.md: release checklist for Hugging Face, Zenodo, and Kaggle
upload_commands.ps1: ready-to-run upload command templates for Windows PowerShell… See the full description on the dataset page: https://huggingface.co/datasets/yashdoke7/hiermem-constraint-tracking.repro-stage-bo-adaptive-epsilon-constraint-decomposition-traces
Agent traces
Agent sessions published from a Trackio Logbook.
asia-owid-legislative-constraints-on-the-executive-index
Legislative Constraints On The Executive Index | Asia (Our World in Data)
🌏 6,167 observations · 47 Asia countries · 1789–2025 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 6,167 observations of Legislative Constraints On The Executive Index data across 47 Asia countries, spanning 1789–2025.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Legislative Constraints On The… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-legislative-constraints-on-the-executive-index.constraint_judgementeu-delegation-constraints-annotations
Dataset Card
Dataset Details
Description
This dataset provides manually annotated legal sentences identifying delegating and constraining provisions in European Union secondary legislation (directives and regulations, 1958–2019).
Each sentence is labeled according to whether it confers or limits policy authority to four executive actors:
Member States (MS)
National competent authorities (NCA)
The European Commission (COM)
Supranational agencies (AGE)
The… See the full description on the dataset page: https://huggingface.co/datasets/giovannip/eu-delegation-constraints-annotations.