datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NMRBank
1. NMRBank data (225809)
We batch processed 380,220 NMR segments using NMRExtractor. After removing entries with empty 13C NMR chemical shifts, we obtained about 260,000 entries. Further filtering out entries with empty IUPAC names and NMR chemical shifts resulted in 225,809 entries.
NMRBank_data_225809.zip
2. NMRBank data with SMILES (156621)
To normalize these data, we converted IUPAC names to SMILES using ChemDraw and OPSIN, successfully converting 156,621 entries.… See the full description on the dataset page: https://huggingface.co/datasets/sweetssweets/NMRBank.grab_sweetsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 25,
"total_frames": 9424,
"total_tasks": 1,
"total_videos": 50,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:25"
},
"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/swp4065/grab_sweets.pickplace_sweetsjp_merged2
pickplace_sweetsjp_merged2
This dataset was generated using a phospho starter pack.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
pickplace_sweetsjp_smallcandyThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 10,
"total_frames": 4264,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"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/MostafaOthman/pickplace_sweetsjp_smallcandy.pickplace_sweetsjpThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 5,
"total_frames": 2682,
"total_tasks": 1,
"total_videos": 10,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:5"
},
"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/MostafaOthman/pickplace_sweetsjp.pickplace_sweetsjp_strawThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 5,
"total_frames": 2015,
"total_tasks": 1,
"total_videos": 10,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:5"
},
"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/MostafaOthman/pickplace_sweetsjp_straw.sweets_pick_and_placepick_sweets_mergedso101_pick_sweetsmt-data
Tidy training data
Copies of the current MI v3 train data only. Stage 2 and Stage 3 share videos/train. Source files remain unchanged.
Test data
Canonical evaluation copies for HC-STVG v1, VidSTG, OmniSTVG, and DVD-ST are under annotations/test and videos/test.
amrit-sweets-multimodal
Amrit Multimodal Dataset
Overview
High-quality multimodal dataset for product recommendation and classification tasks.
Total Samples: 10
Categories: 3
Generated: 2026-07-10T11:22:46.406680
Quality: 100% validated, no duplicates, no errors
Features
product_id: Unique product identifier
name: Product name
category: Product category (sweets, savory, dry_fruits, chocolates)
description: Detailed text description (multimodal text data)
price_inr:… See the full description on the dataset page: https://huggingface.co/datasets/Nam-toon-studio/amrit-sweets-multimodal.public-videossweet-spec-offersSweetSpec - Synthetic B2B Sales Offers Dataset
Overview
SweetSpec is a fully synthetic dataset consisting of 10,000 B2B sales offers, created for educational and experimental purposes. The dataset is designed to support the development and evaluation of AI-powered systems such as semantic similarity search, recommendation engines, and pricing-related machine learning workflows.
All data included in this dataset is fictional and privacy-safe. No real customers, products, pricing logic, or… See the full description on the dataset page: https://huggingface.co/datasets/Yuvalos/sweet-spec-offers.