datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
activations-and-barcodes
sveneziale/activations-and-barcodes
Compute artifacts pushed by tda-for-llms's Hugging-Face-backed pipeline
(hf.enabled: true in experiment.yaml).
Layout
Two top-level folders:
activations/{model_slug}/{corpus}/{revision}/{act_name}/
Raw per-cloud activation matrices extracted from the model, one independent
copy per checkpoint (revision). Independent of topology.metric — the
same activations are reused across every metric or topology config that… See the full description on the dataset page: https://huggingface.co/datasets/sveneziale/activations-and-barcodes.activations_and_barcodes_3108
sveneziale/activations_and_barcodes_3108
Compute artifacts pushed by tda-for-llms's Hugging-Face-backed pipeline
(hf.enabled: true in experiment.yaml).
Layout
Two top-level folders:
activations/{model_slug}/{corpus}/{revision}/{act_name}/
Raw per-cloud activation matrices extracted from the model, one independent
copy per checkpoint (revision). Independent of topology.metric — the
same activations are reused across every metric or topology config… See the full description on the dataset page: https://huggingface.co/datasets/sveneziale/activations_and_barcodes_3108.BarcodeAgiBotWorld-Beta_G1_task_390_Check_out_at_the_supermarket_and_scan_the_barcode
agibot_task_390
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 在超市结账并扫描条形码
total_episodes: 750
total_tasks: 1
size: 77G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_390_Check_out_at_the_supermarket_and_scan_the_barcode.Barcodesyn10k-huawei-barcodes
Bodnár-Huawei Syn10k
A mirror of the syn10k_plus_huawei barcode dataset from the Szeged group
(Bodnár, Grósz, Tóth), repackaged as parquet with each image joined to its
ground-truth mask in the same row.
Released under CC BY 4.0, so this mirror is permitted with attribution.
Configs
config
rows
content
with mask
warp2014
10,000
synthetic warped barcode images
10,000
huawei
98
real photographs
98
Every image has its mask — the pairing was verified… See the full description on the dataset page: https://huggingface.co/datasets/devmandan/syn10k-huawei-barcodes.barcode-datasets
난인식 바코드 합성 데이터셋 (v1)
인천세관 송장 바코드 복원 프로젝트(WE-Meet 2026, METRO팀)의 합성 데이터다.
깨끗한 Code128 을 렌더링해 원통 곡률·주름·정반사를 입히고, 정답 제어점을 같이 낸다.
구성
분할
규모
형식
용도
synthetic/v1/recipes/train.{L,M,H}.jsonl.gz
L 126,983 / M 163,453 / H 48,147 행 (렌더 전량)
레시피 JSONL
학습 (로더가 밴드별로 뽑아 쓴다 — 아래)
synthetic/v1/eval/{low,mid,high}/
각 500 장
PNG + NPZ + manifest
평가 (이미지로 구움)
synthetic/v1/stats/
—
JSON
출현율·부족분·실현 preset 비율
학습 30,000 · 평가 1,500. 레시피 원본 272.5 MB (gzip 79.5 MB), 평가 세트… See the full description on the dataset page: https://huggingface.co/datasets/123metro/barcode-datasets.so101_barcode_ep_v5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/klvarshaa/so101_barcode_ep_v5.ocr-barcodes-detectionThe dataset consists of images of various grocery goods that have barcode labels.
Each image in the dataset is annotated with polygons around the barcode labels.
Additionally, Optical Character Recognition (**OCR**) has been performed on each
bounding box to extract the barcode numbers.
The dataset is particularly valuable for applications in *grocery retail, inventory
management, supply chain optimization, and automated checkout systems*. It serves as a
valuable resource for researchers, developers, and businesses working on barcode-related
projects in the retail and logistics domains.barcodestask1319_country_by_barcode_prefix
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1319_country_by_barcode_prefix
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1319_country_by_barcode_prefix.barcodesbarcodesThis dataset has been converted to coco dataset and forked from here:
https://github.com/abbyy/barcode_detection_benchmark
Dataset contains merged images from real and synth data with size of 512x512.
Statistics
Number of images: 30727
Number of classes: 12
Classes:['DataMatrix', 'QRCode', 'Aztec', 'Code128', 'MaxiCode', 'AustraliaPost', 'EAN8', 'Kix', 'PDF417', 'Postnet', 'EAN13', 'Standard2of5']
Class counts:
cat_name
Code128 21808
EAN13 16735
MaxiCode 10664… See the full description on the dataset page: https://huggingface.co/datasets/mapo80/barcodes.barcode-object-detection
Dataset Card
🚀 Uploaded using hubify - Convert object detection datasets to HuggingFace format
This dataset contains object detection annotations converted to HuggingFace image dataset format.
📊 Dataset Details
🏷️ Number of classes: 1
📁 Splits: train, test, validation
🖼️ Format: Images with bounding box annotations
🎯 Classes
The dataset contains the following 1 classes:
barcode
💻 Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/benjamintli/barcode-object-detection.recalls-by-barcode
ProductGuru — Consumer Product Recalls by Barcode (EAN/GTIN)
36,654 recall notices across 32,668 distinct retail barcodes, compiled from
11 government registers. One row per (barcode, authority, notice).
100% of rows link to the issuing authority's own notice.
Why this exists
Most official recall registers do not publish a barcode. Across the registers we mirror, only
29.3% of consumer-product recalls carry one — France's RappelConso publishes a barcode on
100% of… See the full description on the dataset page: https://huggingface.co/datasets/PROGU2026/recalls-by-barcode.synthdog_en_barcode
Dataset Card for "synthdog_en_barcode"
More Information needed
so101_barcode_scan_74epThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/klvarshaa/so101_barcode_scan_74ep.fungi-its-barcodes
fungi-its-barcodes
Fungal internal transcribed spacer (ITS) reference sequences for 6-level taxonomic classification (phylum → class → order → family → genus → species), in the UNITE convention.
Files
File
Sequences
Purpose
trainset.fasta
~1.5 M
Training references
trainset_valid.fasta
—
Validation split
test1.fasta
4,439
Test 1 — Yeast-enriched
test2.fasta
11,619
Test 2 — Filamentous fungi
test3.fasta
367,337
Test 3 — large-scale benchmark… See the full description on the dataset page: https://huggingface.co/datasets/zhangtaolab/fungi-its-barcodes.so101_barcode_100ep_v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/klvarshaa/so101_barcode_100ep_v3.barcodes_tempbarcode_scanning_mergedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 120,
"total_frames": 105781,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:120"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/mimiminsoo/barcode_scanning_merged.ur3-bimanual-barcodesingle-cell.GSM6611298_P14601_4005_barcodesslowestlooser-barcodes
SlowestLooser barcode database
A versioned barcode → nutrition lookup table consumed by the SlowestLooser iOS app. Ships as a single SQLite file per release, with a JSON manifest carrying the integer version + SHA-256.
The app polls manifest.json at launch and on user-tap from Settings → Barcode-Datenbank. When manifest.version is greater than the installed version (App Group UserDefaults), the artifact is downloaded, SHA-256-verified, and atomically swapped into Application… See the full description on the dataset page: https://huggingface.co/datasets/Juhuu/slowestlooser-barcodes.barcodes-google-ocreval_barcodeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/mimiminsoo/eval_barcode.eval_barcode_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 4,
"total_frames": 6428,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/mimiminsoo/eval_barcode_v2.eval_barcode_v4This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/mimiminsoo/eval_barcode_v4.eval_barcode_v5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 1,
"total_frames": 1608,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/mimiminsoo/eval_barcode_v5.eval_barcode_v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/mimiminsoo/eval_barcode_v3.