tutor-ia
ndebuhr_-_Mistral-7B-Technical-Tutorial-Summarization-QLoRA-ggufGemma-2-27B-Technical-Tutorial-Summarization-QLoRA-i1-GGUFGemma-2-27B-Technical-Tutorial-Summarization-QLoRA-GGUFdiegollg_-_FineLlama-3.1-8B-tutorial-ggufddpm-floorplans_tutorial-128minecraft-ai-training-tutorialllama-3-Old-English-Tutorial-FineTunerobot_learning_tutorial_act_example_model
Datasets
All datasets matching “tutor-ia”koch_tutorialThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "koch",
"total_episodes": 50,
"total_frames": 21267,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/aliberts/koch_tutorial.ccai-nlp-tutorial-1deception-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.easytranscriber_tutorialstutorials_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.