datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
isaac_pick_and_place_cube_001_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 69,
"total_frames": 28382,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:69"
},
"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/ToonAga/isaac_pick_and_place_cube_001_2.Sehaj-Gurmukhi-Frontier-Reasoning
🧠 Punjabi (Gurmukhi) Frontier Reasoning & Longevity AI Corpus
Punjabi (Gurmukhi) Frontier Reasoning (ਪੰਜਾਬੀ ਗੁਰਮੁਖੀ ਡਾਟਾਸੈੱਟ) is a high-density, multi-domain Punjabi dataset engineered for training next-generation intelligent Punjabi AI models.
🔍 Search & Discovery Keywords
Language: Punjabi / Gurmukhi (ਪੰਜਾਬੀ / ਗੁਰਮੁਖੀ)
Domains: Quantum Science, Higher Mathematics, Computer Science, Longevity Vitals, and Classical Philosophy in Punjabi.
📊 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Nam-toon-studio/Sehaj-Gurmukhi-Frontier-Reasoning.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.