datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cs336-basics-collection
CS336 Assignment 1 — Pre-tokenized Data & BPE Tokenizers
This repository contains preprocessing artifacts produced for Stanford CS336: Language Modeling from Scratch, Spring 2025 — Assignment 1: Basics.
It includes:
pre-tokenized TinyStories train/validation data,
pre-tokenized OpenWebText (OWT sample) train/validation data,
byte-level BPE vocabularies and merge tables for both datasets.
The main purpose of this repository is to avoid repeating the relatively expensive… See the full description on the dataset page: https://huggingface.co/datasets/victorhu493/cs336-basics-collection.part2-basic_foldThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "hand",
"total_episodes": 7536,
"total_frames": 3353104,
"total_tasks": 24,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:7536"
},
"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/gsethia08/part2-basic_fold.lol-basic-matches-challenger-10k
GPTilt: 10K League of Legends Challenger Matches
This dataset is part of the GPTilt open-source initiative, aimed at democratizing access to high-quality LoL data for research and analysis, fostering public exploration, and advancing the community's understanding of League of Legends through data science and AI. It provides detailed data from high-elo matches.
By using this dataset, users accept full responsibility for any consequences arising from its use. GPTilt assumes no… See the full description on the dataset page: https://huggingface.co/datasets/gptilt/lol-basic-matches-challenger-10k.basic_turing_boxes_17This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 45,
"total_frames": 10595,
"total_tasks": 1,
"total_videos": 90,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:45"
},
"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/InsaneBrain14/basic_turing_boxes_17.basic-math-operations
Mathematical Reasoning Dataset
A comprehensive dataset of mathematical problems with detailed step-by-step reasoning and Python verification, designed for training language models to perform mathematical computations with clear explanations.
Dataset Description
This dataset contains mathematical problems across 20 different operation types, each with detailed step-by-step reasoning that explains the mathematical concepts, handles edge cases, and includes Python code… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/basic-math-operations.dtak-transnormer-basic-v1
Dataset Card for DTAK-transnormer-basic (v1.0)
Dataset Details
Dataset Description
DTAK-transnormer-basic is a modified subset of the DTA-Kernkorpus (Deutsches Textarchiv, German Text Archive Core Corpus).
It is a parallel corpus of German texts from the period between 1600 to 1899, that aligns sentences in historical spelling with their normalizations.
A normalization is a modified version of the original text that is adapted to modern spelling conventions.… See the full description on the dataset page: https://huggingface.co/datasets/textplus-bbaw/dtak-transnormer-basic-v1.eval_SO101-record-basic-test_02_02This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 279,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/thomyv/eval_SO101-record-basic-test_02_02.bouncingsim-ROTOBJ-basicbouncingsim-GRAVITY-basicbouncingsim-ROTOBJ_ROTBOX-basicxlerobot-final-v1-xlerobot_mobile_basics_h264_v1This dataset was created using LeRobot.
Dataset Description
XLeRobot Final v1 whole-body teleoperation smoke test
A public, real-hardware integration record for an XLeRobot-compatible 0.4.0
two-wheel configuration. This is an engineering smoke-test dataset, not a
household-task training benchmark.
Recorded system
Two Seeed Studio Pro SO-101 arms (leader/follower teleoperation)
Differential two-wheel base
Pan/tilt head
Three synchronized RGB… See the full description on the dataset page: https://huggingface.co/datasets/NOJIMA21/xlerobot-final-v1-xlerobot_mobile_basics_h264_v1.bouncingsim-ROTBOX-basicbouncingsim-MULTIOBJ-basicbasic-arithmetic
Basic Arithmetic
Difficulty-balanced arithmetic dataset (addition, subtraction, multiplication,
division) for evaluating and fine-tuning language models. Problems are classified
into four difficulty tiers (easy, medium_easy, medium_hard, hard) based on
Qwen2.5-0.5B-Instruct performance. Includes 10k training samples, 200
validation, and 400 test (in-domain + out-of-domain phrasings).
Splits
config
split
rows
what
default
train
10,000
training set… See the full description on the dataset page: https://huggingface.co/datasets/ChrisMcCormick/basic-arithmetic.asia-who-population-using-at-least-basic-sanitation-services
Population using at least basic sanitation services (%) | Asia (WHO GHO)
🌏 3,206 observations · 48 Asia countries · 2000–2024 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 3,206 observations of Population using at least basic sanitation services (%) data across 48 Asia countries, spanning 2000–2024, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health Organization… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-population-using-at-least-basic-sanitation-services.bouncingsim-MULTIBOX_MULTIOBJ-basicbouncingsim-ROTOBJ_MULTIBOX-basicbouncingsim-MOVBOX-basicbouncingsim-ROTOBJ_GRAVITY-basicbouncingsim-MOVBOX_GRAVITY-basicbouncingsim-MULTIBOX-basicbouncingsim-MULTIOBJ_MULTIOBJ-basicbouncingsim-ROTOBJ_MOVBOX-basicbouncingsim-ROTOBJ_MULTIOBJ-basicbouncingsim-ROTBOX_MOVBOX-basicbouncingsim-ROTBOX_MULTIOBJ-basicbouncingsim-ROTBOX_GRAVITY-basicbouncingsim-MOVBOX_MULTIOBJ-basicbouncingsim-MULTIBOX_GRAVITY-basicbouncingsim-ROTBOX_MULTIBOX-basic