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.WikiTableQuestionstable_spill_cleanup_bimanual_rgbd_segmentation_poses
Exylos Bimanual Table Spill Cleanup Rich-Modality Sample
A compact, rich-modality bimanual robot manipulation dataset for tabletop spill cleanup.
Each episode combines synchronized dual-arm Panda state/action trajectories, 7 RGB camera streams, per-frame depth maps, per-frame segmentation masks, object pose streams, phase annotations, and an objective cleanup success metric based on the remaining spill fraction.
This dataset is a rich-modality inspection sample for the Exylos… See the full description on the dataset page: https://huggingface.co/datasets/ExylosAi/table_spill_cleanup_bimanual_rgbd_segmentation_poses.TabMWPReasoning-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.helpmate-tables
Helpmate tablebases
Exhaustively solved helpmate
tablebases: for every legal position in a material class, the distance to
mate under optimal cooperation and the number of distinct optimal
solutions.
That second number is the useful one. It is what tells a composer whether a
position is a sound problem (count = 1) or has duals.
Generated by
osick/helpmate-tablebase
(MIT). These files are the data; that repository is the code that builds and
reads them.
559 six-piece tablebases… See the full description on the dataset page: https://huggingface.co/datasets/osick/helpmate-tables.table_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.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
tabletop-simulation-hdf5evaluation-tables
[!CAUTION]
This dataset will not be updated. It corresponds to the last available public snapshot of the data, retrieved on July 28th, 2025.
adaption-financial-qa-with-tables
Financial Filing QA with Reasoning (Augmented)
Numerical questions over company-filing tables and text, answered with a worked reasoning path.
Rows
11,976
Domain
finance
Format
data.parquet, one row per example
Licence
other
Built for
supervised fine-tuning (SFT) experiments on Adaption AutoScientist
Columns
Column
Description
prompt
The prompt (user turn) as uploaded.
completion
The target response as uploaded.… See the full description on the dataset page: https://huggingface.co/datasets/rodriguescarson/adaption-financial-qa-with-tables.WikiTableQuestionsSelectionThis dataset is a curated subset of the original WikiTableQuestions (Pasupat and Liang, 2015). To address inconsistencies and inaccuracies found in the source material—such as ambiguous queries and incorrect ground-truth labels—this version consists of 100 hand-selected examples. Each entry has been verified to ensure high data quality and factual alignment, making it an ideal benchmark for precise table-based QA evaluation.
WTQTableBank-DetectionArXiv-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.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.hybridqaunichart-table-dataTableVQA-Bench
Dataset Card for "TableVQA-Bench"
More Information needed
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.dclm-14b-c4-rewrriten-table-prompt-14b-retoktable-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-R1-SFT-Dataset-alldclm-6.7b-c4-rewrriten-table-prompt-6.7b-retokTableLLM-SFT
TableLLM-SFT
| Paper | Model | Github | Homepage |
TableLLM-SFT is a training set containing a number of splits on different benchmarks. This training set is used to fine-tuning TableLLM-8b, which are based on Llama3.1-8b-instruct.
MMQAtablebench-instructTAT-DQA