datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
spacr-tutorials
spaCR tutorial media
Narration and 4K video for the spaCR
interactive tutorial library, served directly to
https://einarolafsson.github.io/spacr/tutorials/.
spaCR is a toolkit for microscopy and single-cell analysis of pooled CRISPR
screens. This repository holds the media its 40-lesson tutorial player streams;
it is not a training dataset.
Why it lives here
GitHub Pages caps a published site at 1 GB. The full narration set is 2,662 MiB
across 54 voices, so the… See the full description on the dataset page: https://huggingface.co/datasets/einarolafsson/spacr-tutorials.deception-probing-tutorial
Deception probing tutorial — Gemma-2-9B-IT activations
Precomputed residual-stream activations for a hands-on replication of
Natarajan et al. (2026), One Probe Won't Catch Them All (arXiv:2602.01425),
which builds on Goldowsky-Dill et al. (2025), Detecting Strategic Deception with
Linear Probes.
The point of shipping activations rather than a model: everything scientifically
interesting in both papers happens downstream of the forward pass. With these
vectors the whole tutorial… See the full description on the dataset page: https://huggingface.co/datasets/Rutabin/deception-probing-tutorial.tutorials_summary
Tutorials Summary Text Dataset
This is the summary text dataset of sysmlv2's official tutorials pdf. With the text explanation and code examples in each page, organized in both Chinese and English natural language text. Useful for training LLM and teach it the basic knowledge and conceptions of sysmlv2.
182 records in total.
English Full Summary
page_1-41.md
page_42-81.md
page_82-121.md
page_122-161.md
page_162-183.md
中文完整版
page_1-41.md
page_42-81.md
page_82-121.md… See the full description on the dataset page: https://huggingface.co/datasets/sysmlv2research/tutorials_summary.tutorial_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omy",
"total_episodes": 50,
"total_frames": 9758,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:50"
},
"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/y0-0n/tutorial_v2.tutorial_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omy",
"total_episodes": 50,
"total_frames": 9758,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:50"
},
"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/Jeongeun/tutorial_v2.code_tutorials
Coding Tutorials
This comprehensive dataset consists of 500,000 documents, summing up to around 1.5 billion tokens.
Predominantly composed of coding tutorials, it has been meticulously compiled from various web crawl datasets like RefinedWeb, OSCAR, and Escorpius.
The selection process involved a stringent filtering of files using regular expressions to ensure the inclusion of content that contains programming code (most of them).
These tutorials offer more than mere code snippets.… See the full description on the dataset page: https://huggingface.co/datasets/mponty/code_tutorials.code-tutorials-en
Dataset Card for "code-tutorials-en"
en only
100 words or more
reading ease of 50 or more
DatasetDict({
train: Dataset({
features: ['text', 'url', 'dump', 'source', 'word_count', 'flesch_reading_ease'],
num_rows: 223162
})
validation: Dataset({
features: ['text', 'url', 'dump', 'source', 'word_count', 'flesch_reading_ease'],
num_rows: 5873
})
test: Dataset({
features: ['text', 'url', 'dump', 'source', 'word_count'… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/code-tutorials-en.KORMo-tutorial-datasetstutorial-ball-2
tutorial-ball-2 (LeRobot) — TsFile
This dataset is a lossless conversion to the Apache TsFile
format of the HuggingFace LeRobot dataset
notmahi/tutorial-ball-2:
a low-dimensional robot tutorial trajectory dataset (no video).
Original dataset
Source dataset: notmahi/tutorial-ball-2
Format: early LeRobot format (meta_data/ + safetensors)
Content: purely numeric low-dimensional state/action trajectories —
314,074 frames / 751 episodes / 30 fps. No images or video… See the full description on the dataset page: https://huggingface.co/datasets/THULab/tutorial-ball-2.Spoken-Tutorial
BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages
Overview
BhasaAnuvaad, is the largest Indic-language AST dataset spanning over 44,400 hours of speech and 17M text segments for 13 of 22 scheduled Indian languages and English.
This repository consists of parallel data for Speech Translation from Spoken-Tutorial youtube channel, a subset of BhasaAnuvaad.
How to use
The datasets library allows you to load and pre-process your… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/Spoken-Tutorial.but-they-are-cats-tutorial
Dataset Card for But They Are Cats Tutorials
This dataset is presented and used in Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment.
Dataset Details
The dataset is designed for Visual Question answering. It is composed of game screenshots, questions, and answers.
The questions and the answers are direct to provide a more effective evaluation independent of the syntax.
Question: "Do distractions affect the cats in the same way?" Answer: "The… See the full description on the dataset page: https://huggingface.co/datasets/DarthReca/but-they-are-cats-tutorial.rag-tutorial-prebuilt-indexes
🔍 Pre-built Indexes for RAG Tutorial
Welcome to the official repository for Pre-built Dense Indexes used in our RAG (Retrieval-Augmented Generation) Tutorial.
This repository is designed to help learners, instructors, and researchers easily integrate domain-specific dense retrieval into their RAG workflows without spending time building indexes from scratch.
📦 What This Repository Contains
This repository hosts ready-to-use FAISS-based dense indexes and supporting… See the full description on the dataset page: https://huggingface.co/datasets/ShubhamC/rag-tutorial-prebuilt-indexes.tutorial_vla_datasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omy",
"total_episodes": 50,
"total_frames": 9758,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:50"
},
"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/csharon/tutorial_vla_dataset.filtered-finephrase-tutorialTDA-tutorialtutorialsmedical-cases-classification-tutorial
About
This is a pre-filtered and pre-split dataset for the HPE Generative AI "Medical Transcript Classification" tutorials.
No-Code Version (UI Only)
Notebooks Version
blended-skill-talk-fixed
Compatibility Update
This repository is a compatibility-fixed version of the original Blended Skill Talk dataset.
The original dataset can be found at:
Original Hugging Face dataset: https://huggingface.co/datasets/anezatra/blended-skill-talk
This version was created to maintain compatibility with newer versions of the Hugging Face datasets library.
Changes from the Original Dataset
The following changes were made:
Removed the unused label_candidates column.… See the full description on the dataset page: https://huggingface.co/datasets/TutorialGuide/blended-skill-talk-fixed.tutorials_code_and_text
Tutorials Extracted Text Dataset
This is the extracted text dataset of sysmlv2's official tutorials pdf. With the text explaination and code examples in each page. Useful for training LLM and teach it the basic knowledge and conceptions of sysmlv2.
1315 records, 183 pages in total.
dolly_tutorial
Dataset Card for dolly_tutorial
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when using the… See the full description on the dataset page: https://huggingface.co/datasets/plaguss/dolly_tutorial.online-tutorialsThe online tutorials retrieval source for code-rag-bench, consisting tutorials pages collected from GeeksforGeeks, W3Schools, tutorialspoint, and Towards Data Science.
tutorials_questions
Tutorials Question Text Dataset
This is the question text dataset of sysmlv2's official tutorials pdf. With the question text (only questions, no answers here) generated based on the tutorials, organized in both Chinese and English natural language text. Useful for training LLM and teach it the basic knowledge and conceptions of sysmlv2.
855 records in total.
id
group_id
type
page_ids
question_zh
question_en
855
56
CHECK
181… See the full description on the dataset page: https://huggingface.co/datasets/sysmlv2research/tutorials_questions.lexic-ai-tutorial-datasethf_dataset_tutorialdolly_tutorial
Dataset Card for dolly_tutorial
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named argilla.cfg. This configuration file will be used to configure the dataset when using the… See the full description on the dataset page: https://huggingface.co/datasets/nataliaElv/dolly_tutorial.battle-game-grpo-tutorial
turn-based battle game GRPO tutorial dataset
Pre-built GRPO records for the ROCm AI Developer Hub tutorial.
Split
File
Records
demo
data/demo.jsonl
64
train
data/train.jsonl
2048
validate
data/validate.jsonl
32
Use via tutorial notebook Step 12 (load_grpo_tutorial_records) or regenerate with prepare_grpo_tutorial_data.py.
Companion scripts: https://github.com/GoldenGrapeGentleman/battle game-showdown-agent-scripts
hf_dataset_tutorialhf_dataset_tutorialspeculator-tutorial
speculator-tutorial
Raw vs. on-policy regenerated conversation data for training speculative-decoding
drafters (EAGLE-3 / DFlash / DSpark style), with the original source data kept alongside
so you can see exactly what regeneration changes and why it matters.
Prompts come from UltraChat-200k. The verifier / teacher model is Qwen/Qwen3-8B.
Why regenerate at all?
A speculative-decoding drafter is trained to predict what the verifier would say next.
If you train it… See the full description on the dataset page: https://huggingface.co/datasets/windchimeran/speculator-tutorial.pytorch-tutorial-168
Dataset Card for "pytorch-tutorial-168"
More Information needed