datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IndustryCorpus_technology[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_technology.IndustryCorpus2_technology_scientific_research
IndustryCorpus2: Technology & Research
This repository contains the IndustryCorpus2: Technology & Research domain subset of BAAI/IndustryCorpus2.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryCorpus2:
@misc{shi2024industrycorpus2,
title = {IndustryCorpus2},
author = {Xiaofeng Shi and Lulu Zhao and Hua Zhou and Donglin Hao}… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus2_technology_scientific_research.information_technology_instruct_mcq_2481img_pointV2
img_pointV2 is available 🎉🎉🎉🥳🥳😀😀
This dataset is a collection of 3D point clouds generated from the jagennath-hari/nyuv2dataset.
img_pointV2 is the second version of the RAY-AUTRA-TECHNOLOGY/img_pointV dataset. It is a spatialized version of the NYU Depth V2 dataset, transforming classic indoor images into high-fidelity 3D point clouds (.ply files).
The main objective is to provide clean, ready-to-use 3D scenes for training 3D vision models, eliminating the need for users to… See the full description on the dataset page: https://huggingface.co/datasets/RAY-AUTRA-TECHNOLOGY/img_pointV2.ryan-test-white-tableThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/ryan-test-white-table.betty-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/betty-test.asia-science-technology-world-bank-science-and-technology-indica
Maldives - Science and Technology
Publisher: World Bank Group · Source: HDX · License: cc-by · Updated: 2026-04-28
Abstract
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Technological innovation, often fueled by governments, drives industrial growth and helps raise living standards. Data here aims to shed light on countries technology base: research and development, scientific and technical journal articles… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-science-technology-world-bank-science-and-technology-indica.touch-cokeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"chunks_size": 1000,
"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch-coke.fix-handle-angle-leftThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/fix-handle-angle-left.Locate-pickup-measuring-cup-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits": {
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/Locate-pickup-measuring-cup-2.locate_sauce_bottle_mergedpickup-sauce-bottle-smolvlaThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "bi_widowxai_follower",
"total_episodes": 10,
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"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/pickup-sauce-bottle-smolvla.pick-up-color-measuring-cupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/pick-up-color-measuring-cup.context_length_benchmarking
🧠 Context Length - Benchmarking
A Mathematical Framework for Long-Context Attention Evaluation
The Context Length Benchmarking, developed by Sapiens Technology®, is a deterministic and scalable framework designed to evaluate how effectively large language models retain and retrieve information across extremely long contexts, isolating pure attention capability by removing semantic complexity and focusing on distributed anomaly detection; the methodology involves normalizing the… See the full description on the dataset page: https://huggingface.co/datasets/sapiens-technology/context_length_benchmarking.touch-coke-moreThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch-coke-more.cupHolderTrainingDataThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/cupHolderTrainingData.IndustryInstruction_Technology-Research
IndustryInstruction: Technology & Research
This repository contains the IndustryInstruction: Technology & Research domain subset of BAAI/IndustryInstruction.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryInstruction:
@misc{shi2024industryinstruction,
title = {IndustryInstruction},
author = {Xiaofeng Shi and Lulu Zhao and Hua… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryInstruction_Technology-Research.Locate-pickup-soda-canThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"trossen_subversion": "v1.0",
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"total_episodes": 2,
"total_frames": 295,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/Locate-pickup-soda-can.Locate-pickup-measuring-cupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/Locate-pickup-measuring-cup.touch_coke_fastThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch_coke_fast.pickup_chip_bagThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"total_chunks": 1,
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"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/pickup_chip_bag.placeOneCoffeeCupHolderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"fps": 30,
"splits":{
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/placeOneCoffeeCupHolder.ryan-test-white-table-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/ryan-test-white-table-2.img_pointV1
img_pointV1
This dataset is a collection of 3D point clouds generated from images in the ImageNet-1k VL Enriched dataset (visual-layer/imagenet-1k-vl-enriched).
Each 2D image is converted into a point cloud where the (X, Y) coordinates correspond to pixel locations, and the Z coordinate (depth/elevation) is derived from the pixel's grayscale intensity. The original image colors are retained as the colors of the points. The point clouds are stored in the GLB format.… See the full description on the dataset page: https://huggingface.co/datasets/RAY-AUTRA-TECHNOLOGY/img_pointV1.medium-sample-technologySample with the keyword "Technology" taken from https://huggingface.co/datasets/fabiochiu/medium-articles
genObjectPickup2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_videos": 6,
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"chunks_size": 1000,
"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/genObjectPickup2.general_object_pickupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"fps": 30,
"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/general_object_pickup.ryan_cafe_experimentThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits":{
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/ryan_cafe_experiment.eval_act-Locate-pickup-measuring-cup-2-v0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 1,
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"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/eval_act-Locate-pickup-measuring-cup-2-v0.gold-reddit-ai-technology-corpus
Gold Reddit AI and Technology Corpus
Dataset Authors
Ricardo Flores-Moyano, Universidad San Francisco de Quito
Felipe Rosero-Polo, Universidad San Francisco de Quito
José Vega-Sánchez, Universidad San Francisco de Quito
Maria Baldeon-Calisto, Wake Forest University
Dataset Summary
This dataset provides a curated Gold corpus of 1,614 Reddit posts that were
publicly accessible at collection time. The corpus is primarily English, with
a smaller… See the full description on the dataset page: https://huggingface.co/datasets/rickphd/gold-reddit-ai-technology-corpus.