datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TABLET-Large
TABLET-Large
This is the Large sized train set of the TABLET dataset. It contains all train examples for all TABLET tasks, resulting in a total of 3,505,311 training examples across 17 tasks.This dataset is self-contained, each example includes a table image, its HTML representation, and the associated task data.However, if you're interested in downloading just the TABLET tables, check out TABLET-tables.
All TABLET Subsets:
(train) TABLET-Small: The smallest TABLET subset… See the full description on the dataset page: https://huggingface.co/datasets/alonsoapp/TABLET-Large.tabletop-simulation-hdf5TabMWPtable_spill_cleanup_bimanual
Exylos Bimanual Spill Cleanup — Rich-Modality 50-Episode Sample
50 episodes of a bimanual Franka Panda wiping a liquid spill off a tabletop. Synthetic, VR-teleop demonstrations retargeted to two 7-DoF arms — 6 RGB views (3 with depth + segmentation), 6-DoF object poses, and a ground-truth dirty_fraction cleanliness signal, packaged in LeRobot v2.1.
Release note: this rich-modality v2 release replaces the original public 50-episode preview in place. The previous dataset… See the full description on the dataset page: https://huggingface.co/datasets/ExylosAi/table_spill_cleanup_bimanual.WikiTableQuestionsevaluation-tables
[!CAUTION]
This dataset will not be updated. It corresponds to the last available public snapshot of the data, retrieved on July 28th, 2025.
Reasoning-Table
Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
The Reasoning-Table dataset is a high-quality, reasoning dataset designed for table reasoning tasks.
📁 Directory Structure
This repository is organized by task. Each subfolder contains task-specific reasoning data, including raw and filtered versions. Here is an overview:
├── fetaqa/
├── feverous/
├── finqa/
├── gsm8k/
├── hitab/
├── hybridqa/
├── multihierttt/
├── ottqa/
├── tabfact/
├── tatqa/
├──… See the full description on the dataset page: https://huggingface.co/datasets/TableQAKit/Reasoning-Table.language_table_inpainting
language_table robot-removal inpainting dataset
This dataset contains robot-removal inpainting results for language_table. Each episode provides:
inpainting.mp4: the robot visually removed via inpainting
mask.mp4: the robot mask video used for inpainting
original_episode.mp4: the original (unmodified) episode video
language_instructions_{split}_all.txt: tab-separated mapping from episode_id to instruction
Relation to OXE-AugE
This release is produced as part of… See the full description on the dataset page: https://huggingface.co/datasets/oxe-auge/language_table_inpainting.elements_annotated_tables_4500_docs
Dataset
🚀 Progress
Last update (UTC): 2025-11-11 15:40:21Z
Documents processed: 4500 / 500058
Batches completed: 30
Total pages/rows uploaded: 89882
Latest batch summary
Batch index: 30
Docs in batch: 150
Pages/rows added: 1487
BUDDI-Table-FactoryAbout
We release BTF1K dataset, which contains 1000 synthetically generated documents with table and cell annotations.
The dataset was generated synthetically using BUDDI Table Factory.
bird-dev-tablesArXiv-tables
Arxiv-tables Dataset
Dataset Summary
The Arxiv-tables dataset is a collection of tables extracted from scientific papers published on arXiv, primarily focused on ML papers. It includes both the LaTeX source of the tables and their corresponding rendered images from the PDF versions of the papers.
Supported Tasks
This dataset can support several tasks, including but not limited to:
Table structure recognition
LaTeX to image generation for tables
Image-to-LaTeX… See the full description on the dataset page: https://huggingface.co/datasets/staghado/ArXiv-tables.MMQAtpch_tables_scale_1
polars-tpch
This repo contains the code used for performance evaluation of polars. The benchmarks are TPC-standardised queries and data designed to test the performance of "real" workflows.
From the TPC website:
TPC-H is a decision support benchmark. It consists of a suite of business-oriented ad hoc queries and concurrent data modifications. The queries and the data populating the database have been chosen to have broad industry-wide relevance. This benchmark illustrates… See the full description on the dataset page: https://huggingface.co/datasets/kunishou/tpch_tables_scale_1.Table-GPT
Table-GPT: Table-tuned GPT for Diverse Table Tasks
This repository contains training and test datasets for the SIGMOD'24 paper Table-GPT: Table-tuned GPT for Diverse Table Tasks. The source code for data generation and task evaluation are available here: https://github.com/microsoft/Table-GPT, which can be used to generate more training data for table-related tasks.
Task Descriptions
We collect (or synthesize) 18 diverse table-related tasks, which are summarized in… See the full description on the dataset page: https://huggingface.co/datasets/LipengCS/Table-GPT.beaver-table
Dataset Card for beaver-table
Homepage and leaderboard |
Github repository |
Paper
Beaver is a holistic framework for evaluating performance on complex, private‑enterprise text‑to‑SQL tasks.
This repository includes the full collection of tables. Each table contains:
db: ID of the database the table belongs to
table_name: name of the table in the database
column_names: names of the columns in the table
column_types: data types of the columns in the table
example_rows: example rows… See the full description on the dataset page: https://huggingface.co/datasets/beaverbench/beaver-table.tabfactbimanual-table-cleanup-cross-embodiment-rich-modality-sample
Cross-Embodiment Bimanual Table Cleanup — Rich-Modality 10-Episode Inspection Sample
10 full-modality cross-embodiment bimanual table-cleanup episodes: 5 Franka Panda + 5 WidowXAI, 21,267 frames, 6 RGB views per robot, task-camera depth and segmentation, native robot state/action, end-effector trajectories, 6-DoF object poses, and QA annotations.
✅ Use it / ❌ Skip it
Use it for
Inspecting loaders, schemas, camera coverage, depth, segmentation, object poses… See the full description on the dataset page: https://huggingface.co/datasets/ExylosAi/bimanual-table-cleanup-cross-embodiment-rich-modality-sample.TABLET-Medium
TABLET-Medium
This is the Medium sized train set of the TABLET dataset. It contains the train examples for all TABLET tasks.Each task is capped at 140,000 examples, resulting in a total of 1,117,217 training examples across 17 tasks.This dataset is self-contained, each example includes a table image, its HTML representation, and the associated task data.However, if you're interested in downloading just the TABLET tables, check out TABLET-tables.
All TABLET Subsets:
(train)… See the full description on the dataset page: https://huggingface.co/datasets/alonsoapp/TABLET-Medium.table-vqa
Dataset description
The table-vqa Dataset integrates images of tables from the dataset AFTdb (Arxiv Figure Table Database) curated by cmarkea.
This dataset consists of pairs of table images and corresponding LaTeX source code, with each image linked to an average of ten questions and answers. Half of the Q&A pairs are in English and the other half in French. These questions and answers were generated using Gemini 1.5 Pro and Claude 3.5 sonnet, making the dataset well-suited for… See the full description on the dataset page: https://huggingface.co/datasets/cmarkea/table-vqa.Visual-TableQA
🧠 Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images
Welcome to Visual-TableQA, a project designed to generate high-quality synthetic question-answer datasets associated to images of tables. This resource is ideal for training and evaluating models on visually-grounded table understanding tasks such as document QA, table parsing, and multimodal reasoning.
🚀 Latest Update
We have refreshed the dataset with newly generated QA pairs created by… See the full description on the dataset page: https://huggingface.co/datasets/AI-4-Everyone/Visual-TableQA.table_rec_test_dataset
表格识别测试集
数据集简介
该数据集包含百度生成工具 20 张有线 20 张无线，wtw 数据集 15, pubnet val 集 20 张，自我零散标注 18 张，共计 93 张表格图片,涵盖多种场景、不同光照条件、不同的图像分辨率。
该数据集可以结合 表格指标评测库-TableRecognitionMetric 使用，快速评测各种表格还原算法。
关于该数据集，欢迎小伙伴贡献更多数据呦！有任何想法，可以前往 issue讨论。
如果遇到标注有误的，还请指出。
数据集支持的任务
可用于自定义数据集下的模型验证和性能评估等。
数据集的格式和结构
数据格式
数据集只有测试集，仅用于客观评估算法表现。
data
└── test
├── images
│ ├── 000cce9ca593055d4618466e823e6d7c.jpg
│ ├── 0aNtiNtRRLqEZ9y6PuShtAAAACMAAQED.jpg
│ ├──… See the full description on the dataset page: https://huggingface.co/datasets/SWHL/table_rec_test_dataset.spider-tableQA
Dataset Card for "spider-tableQA"
Usage
import pandas as pd
from datasets import load_dataset
spider_tableQA = load_dataset("vaishali/spider-tableQA")
for sample in spider_tableQA['train']:
question = sample['question']
sql_query = sample['query']
input_table_names = sample["table_names"]
input_tables = [pd.read_json(table, orient='split') for table in sample['tables']]
answer = pd.read_json(sample['answer'], orient='split')
# flattened input/output… See the full description on the dataset page: https://huggingface.co/datasets/vaishali/spider-tableQA.2026-08-25-table2-9284-difficult-advice-verbose-token-matched-train-mixture
Token-matched verbose difficult-advice arm. Holds difficult advice's share of the TRAINABLE TOKENS at the control's value while the traces are ~3x longer, by keeping only a subset of the expanded rows. Its sibling arm holds the ROW share instead; together they separate more deliberation from more difficult-advice signal.
field
value
experiment
Token-matched verbose difficult-advice arm. Holds difficult advice's share of the TRAINABLE TOKENS at the control's value… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-25-table2-9284-difficult-advice-verbose-token-matched-train-mixture.TableVQA-Bench
Dataset Card for "TableVQA-Bench"
More Information needed
FreeformTableQAdclm-14b-c4-rewrriten-table-prompt-14b-dpoed-retokdclm-14b-c4-rewrriten-table-prompt-14b-retokTableBank-DetectionWTQ