datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
values-in-the-wild
Summary
This dataset presents a comprehensive taxonomy of 3307 values expressed by Claude (an AI assistant) across hundreds of thousands of real-world conversations. Using a novel privacy-preserving methodology, these values were extracted and classified without human reviewers accessing any conversation content. The dataset reveals patterns in how AI systems express values "in the wild" when interacting with diverse users and tasks.
We're releasing this resource to advance research… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/values-in-the-wild.mcts-value-data
MCTS value data
Dense value supervision for a robot manipulation critic, generated by running Monte-Carlo
tree search offline as a supervision generator rather than online as a planner.
A policy that is only ever scored at the end of an episode gives one number per episode.
Running MCTS from a recorded scene and backing terminal outcomes up the tree turns that one
number into a value for every state the search visited — 85,747 of them here,
from 250 searches over 13 tasks.… See the full description on the dataset page: https://huggingface.co/datasets/mahgoobi/mcts-value-data.Agent-ValueBench
Agent-ValueBench
Agent-ValueBench constitutes the first comprehensive benchmark dedicated to evaluating the underlying values of autonomous agents. It features 394 executable environments across 16 domains, offering 4,335 value-conflict tasks that span 28 value systems (332 dimensions).
This Hugging Face release contains both structured JSONL tables for dataset viewing and Croissant metadata generation, and the original raw benchmark artifacts.
Repository Structure… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-nips2026/Agent-ValueBench.piperx-demo558-value1500-a50-top10-union20-v1
PiperX advantage-selected teleoperation segments
Only pure human demonstrations. Value checkpoint step1500 (mixed demo+HIL); no HIL frames in this export.
A50 ranked globally across 558 source episodes, top10% AND A>0. Every selected start expands to [t,t+20); overlaps and adjacency merge. Each disconnected component is a separate output episode. Interior frames need not themselves be top10%.
Output: 7146 segments, 322261 frames, 2.983898 hours at30FPS.
Three camera streams and… See the full description on the dataset page: https://huggingface.co/datasets/Elvinky/piperx-demo558-value1500-a50-top10-union20-v1.mcts-value-data-v2
mcts-value-data-v2
At a state: several action chunks proposed from it, and how each one actually ended.
A branch the search dropped was cut off mid-episode, so it is resumed from its own snapshot
and carried to a finish — the action nobody executed still gets an answer to would this
have worked.
410 searches · 12 tasks · 160,964 nodes, each with its own
state and image.
This repo hosts the data. What it means, how it was produced and how to use it live in
the code that wrote it:… See the full description on the dataset page: https://huggingface.co/datasets/mahgoobi/mcts-value-data-v2.MULTI_VALUE_mnli_indefinite_for_zero
Dataset Card for "MULTI_VALUE_mnli_indefinite_for_zero"
More Information needed
Agent-ValueBench
Agent-ValueBench
Paper | Project Page | GitHub
Agent-ValueBench is the first comprehensive benchmark dedicated to evaluating the underlying values of autonomous agents. It features 394 executable environments across 16 domains, offering 4,335 value-conflict tasks that span 28 value systems (332 dimensions).
Repository Structure
README.md
data/
cases.jsonl
rubrics.jsonl
environments.jsonl
raw/
case/
rubric/
environment/
Data Files… See the full description on the dataset page: https://huggingface.co/datasets/Value4AI/Agent-ValueBench.tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution-label-xprob
TCS Direction MC Value: Solution Label Xprob
Partial rows include 4 cross-problem endpoint solution references; reference reward labels are included. Endpoint rows use the explicit no-context sentinel.
Each row is a two-message conversation ending in the literal assistant target yes. Training uses the dense reward column as the soft target P(correct); correct is only the legacy boolean projection. Hidden model reasoning is not included in endpoint state.
Identity… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution-label-xprob.zip-training-hallucination-data-qwen06b-thinking-train-with-valuesopenr1_token_wise_values_3spadl-vaep-action-values
SPADL/VAEP Action Values
Every on-ball action from ~9.5 million professional soccer events, converted to the SPADL unified format and scored with offensive, defensive, and net VAEP values. Built with the silly-kicks library — enabling player ranking by total contribution beyond goals and assists.
Part of the (Right! Luxury!) Lakehouse soccer analytics platform.
⚠️ Schema change (cut-over 2026-07-22)
This dataset now emits both legacy and canonical Kimball key… See the full description on the dataset page: https://huggingface.co/datasets/luxury-lakehouse/spadl-vaep-action-values.tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution-label
TCS Direction MC Value: Solution Label
Partial rows include 3 same-problem endpoint solution references; reference reward labels are included. Endpoint rows use the explicit no-context sentinel.
Each row is a two-message conversation ending in the literal assistant target yes. Training uses the dense reward column as the soft target P(correct); correct is only the legacy boolean projection. Hidden model reasoning is not included in endpoint state.
Identity… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution-label.PAWN-piece-value-datasets
PAWN: Piece Value Analysis with Neural Networks
Overview
We define piece value as the difference in Stockfish evaluation between the original position and the position with that piece removed.
Both datasets used Stockfish 17 at depth=20 with a timeout=300s per evaluation for generating piece values.
MC-Large — Derived from 6,925 Magnus Carlsen games: 11,673,269 piece value entries across 549,410 unique positions. TF — Derived from 7,656 GM-level Classical games… See the full description on the dataset page: https://huggingface.co/datasets/ethanjtang/PAWN-piece-value-datasets.MULTI_VALUE_mnli_zero_plural
Dataset Card for "MULTI_VALUE_mnli_zero_plural"
More Information needed
africa-synth-agriculture-postharvest-value-chains-ssa-all
Post-Harvest Value Chains - Sub-Saharan Africa (Synthetic) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1M<n<10M - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-agriculture-postharvest-value-chains-ssa-all.tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution-xprob
TCS Direction MC Value: Solution Xprob
Partial rows include 4 cross-problem endpoint solution references; reference reward labels are omitted. Endpoint rows use the explicit no-context sentinel.
Each row is a two-message conversation ending in the literal assistant target yes. Training uses the dense reward column as the soft target P(correct); correct is only the legacy boolean projection. Hidden model reasoning is not included in endpoint state.
Identity… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution-xprob.tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution
TCS Direction MC Value: Solution
Partial rows include 3 same-problem endpoint solution references; reference reward labels are omitted. Endpoint rows use the explicit no-context sentinel.
Each row is a two-message conversation ending in the literal assistant target yes. Training uses the dense reward column as the soft target P(correct); correct is only the legacy boolean projection. Hidden model reasoning is not included in endpoint state.
Identity
Source:… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-solution.openr1_step_wise_values_xxltcs-qwen36-27b-direction-value-partial-1017-mc8-v1-none
TCS Direction MC Value: None
No auxiliary solution context is included.
Each row is a two-message conversation ending in the literal assistant target yes. Training uses the dense reward column as the soft target P(correct); correct is only the legacy boolean projection. Hidden model reasoning is not included in endpoint state.
Identity
Source: asingh15/tcs-qwen36-27b-direction-rollouts-partial-1017-mc8
Source revision: 685b614552d9ba5e2f27d6aeee1ff9d6e83c9635
Run… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/tcs-qwen36-27b-direction-value-partial-1017-mc8-v1-none.africa-government-expenditure-value-us
Government Expenditure — Value US$ | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-government-expenditure-value-us.Mind2Web-HTML-cleaned-lite-with-desc_w_tao_value_rationaleafrica-value-of-agricultural-production-gross-production-value-current-thousand-us
Value of Agricultural Production — Gross Production Value (current thousand US$) | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-value-of-agricultural-production-gross-production-value-current-thousand-us.prm-mc-value-context-solution-stratified-v1
PRM MC Value Context: Solution (Stratified v1)
Solutions from other attempts on the same problem are included without correctness labels.
This repository is one arm of a five-way, row-matched process reward model ablation. The target is a Monte Carlo probability of eventual rollout success for a partial solution prefix; only the auxiliary context changes between arms.
Arm configuration
Context mode: solution
Cross-problem context: no
Context correctness labels:… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/prm-mc-value-context-solution-stratified-v1.prm-mc-value-context-solution-label-xprob-stratified-v1
PRM MC Value Context: Solution Label Xprob (Stratified v1)
Solutions from a different problem in the same split are tagged correct or incorrect.
This repository is one arm of a five-way, row-matched process reward model ablation. The target is a Monte Carlo probability of eventual rollout success for a partial solution prefix; only the auxiliary context changes between arms.
Arm configuration
Context mode: solution_label
Cross-problem context: yes
Context… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/prm-mc-value-context-solution-label-xprob-stratified-v1.world_values_survey_2017_2022_sftdataset_value_26_02_05_lerobot_v2.1africa-macro-indicators-value-standard-local-currency
Macro Indicators — Value Standard Local Currency | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-macro-indicators-value-standard-local-currency.african-agro-processing-value-add
African Agro-Processing Value Addition Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: csv - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/african-agro-processing-value-add.food-nutritional-valuesOriginally webscrapped by Aleksandr Antonov from Nutrition Value and posted on Kaggle as "Nutritional values for common foods and products".
prm-mc-value-context-solution-label-stratified-v1
PRM MC Value Context: Solution Label (Stratified v1)
Solutions from other attempts on the same problem are tagged correct or incorrect.
This repository is one arm of a five-way, row-matched process reward model ablation. The target is a Monte Carlo probability of eventual rollout success for a partial solution prefix; only the auxiliary context changes between arms.
Arm configuration
Context mode: solution_label
Cross-problem context: no
Context correctness… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/prm-mc-value-context-solution-label-stratified-v1.