datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kitchen-workspace-understanding-safe-manipulation
Kitchen Workspace Understanding & Safe Manipulation
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by… See the full description on the dataset page: https://huggingface.co/datasets/physicl/kitchen-workspace-understanding-safe-manipulation.multi-view-bathroom-scene-understanding-camera-relocalization
Multi-View Bathroom Scene Understanding & Camera Relocalization
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is… See the full description on the dataset page: https://huggingface.co/datasets/physicl/multi-view-bathroom-scene-understanding-camera-relocalization.Thai-understanding
Thai-Understanding: Thai-SUP & XLSR-Thai
Overview
Thai-Understanding is an open-source repository that provides a solution for speech understanding in the Thai language. This repository includes:
Thai-SUP: The first open-source Thai speech understanding dataset, which includes over 1,000 hours of data across three tasks: Intent Classification (IC), Named Entity Recognition (NER), and Speech Rephrasing (SR).
XLSR-Thai: The first large-scale self-supervised learning (SSL)… See the full description on the dataset page: https://huggingface.co/datasets/mcshao/Thai-understanding.Agentic-Long-Context-Understanding-QA 📖 Agentic Long Context Understanding 📖
Self-Taught Agentic Long Context Understanding (Arxiv).
AgenticLU refines complex, long-context queries through self-clarifications and contextual grounding, enabling robust long-document understanding in a single pass.
Installation Requirements
This codebase is largely based on OpenRLHF and Helmet, kudos to them.
The requirements are the same
pip install openrlhf
pip install -r ./HELMET/requirements.txt… See the full description on the dataset page: https://huggingface.co/datasets/yzhuang/Agentic-Long-Context-Understanding-QA.CUAD_v1_Contract_Understanding_clause_classification
Dataset Card for Contract Understanding Atticus Dataset (CUAD) Clause Classification
This dataset contains 13,155 labeled clauses extracted from 509 commercial legal contracts from the original CUAD dataset. One of the original 510 contracts was removed due to being a scanned copy.
The text was cleaned using clean-text.
You can easily and quickly load it:
dataset = load_dataset("dvgodoy/CUAD_v1_Contract_Understanding_clause_classification")
Dataset({
features: ['file_name'… See the full description on the dataset page: https://huggingface.co/datasets/dvgodoy/CUAD_v1_Contract_Understanding_clause_classification.sentiment-understanding-corpusSentiment Corpus
Distilling Fine-grained Sentiment Understanding from Large Language Models
Fine-grained sentiment analysis (FSA) aims to extract and summarize user opinions from vast opinionated text. Recent studies demonstrate that large language models (LLMs) possess exceptional sentiment understanding capabilities. However, directly deploying LLMs for FSA applications incurs high inference costs. Therefore, this paper investigates the distillation of fine-grained sentiment… See the full description on the dataset page: https://huggingface.co/datasets/Gporrt/sentiment-understanding-corpus.mckinsey_state_of_ai_doc_understanding
Mckinsey State Of Ai Doc Understanding
This dataset was generated using YourBench (v0.3.1), an open-source framework for generating domain-specific benchmarks from document collections.
Pipeline Steps
ingestion: Read raw source documents, convert them to normalized markdown and save for downstream steps
summarization: Perform hierarchical summarization: chunk-level LLM summaries followed by combine-stage reduction
chunking: Split texts into token-based single-hop and… See the full description on the dataset page: https://huggingface.co/datasets/yourbench/mckinsey_state_of_ai_doc_understanding.repro-understanding-sam-through-minimax-perspective-traces
Agent traces
Agent sessions published from a Trackio Logbook.
repro-understanding-lora-as-knowledge-memory-an-empirical-analysis-traces
Agent traces
Agent sessions published from a Trackio Logbook.
qwen3_0.6b-task738_augmented_compositional_understanding_Mar16-1532_blendedqwen3_0.6b_micro_top2_compositional_understanding_Mar17-2002qwen3_0.6b-task738_augmented_compositional_understanding_Mar16-1532nlp.3.reading_for_understanding
Dataset Card for "nlp.3.reading_for_understanding"
More Information needed
qwen3_0.6b_micro_top2_compositional_understanding_Mar17-2002_blendeda1_code_primeintellect_code_understanding_eval_636d
mlfoundations-dev/a1_code_primeintellect_code_understanding_eval_636d
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
Accuracy
15.7
50.7
70.0
25.6
31.9
42.4
0.6
2.6
3.2
AIME24
Average Accuracy: 15.67% ± 1.16%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
13.33%
4
30
2
10.00%
3
30
3
10.00%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/a1_code_primeintellect_code_understanding_eval_636d.a1_code_primeintellect_code_understanding_1744692978_eval_1331