datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rl_expert_franka_dataset_for_pi0_1M_filtered_for_pickupscybersecurity-reasoning-cot-v1
🛡️ Expert Cybersecurity Reasoning Dataset (CoT)
This dataset contains 89 high-fidelity, expert-verified reasoning records focusing on complex cybersecurity attack vectors. It is designed specifically for fine-tuning Large Language Models (LLMs) on sophisticated security analysis and threat logic.
💎 Key Highlights
Niche Rarity 1.0: Covers rare and emerging threats with zero prior representation in open-source datasets.
Advanced Vectors: Includes detailed reasoning for… See the full description on the dataset page: https://huggingface.co/datasets/expertdata-factory/cybersecurity-reasoning-cot-v1.science-cot-dataset
ExpertData Science — Scientific Reasoning
Expert-Annotated · Rights-Cleared · Ground-Truth Verified · PII-Clean
Each record captures a complete experimental or theoretical reasoning chain:
Hypothesis → Methodology → Causal Chain → Validated Conclusion.
Extracted from peer-reviewed papers across physics, biology, materials science, astrophysics, and neuroscience using structured scientific-reasoning extraction.
This dataset is produced by the ExpertData-Factory pipeline
(Mine →… See the full description on the dataset page: https://huggingface.co/datasets/expertdata-factory/science-cot-dataset.digikala-mobile-expert-data
Digikala Mobile Phones Dataset for RAG
This repository contains a comprehensive, processed dataset of mobile phone specifications and details scraped from Digikala. It is specifically designed to build and evaluate Retrieval-Augmented Generation (RAG) systems, semantic search engines, and AI-powered shopping assistants in Persian (Farsi).
🗂 Dataset Structure (Configurations)
This dataset is divided into two distinct configurations:
1. markdowns (Raw… See the full description on the dataset page: https://huggingface.co/datasets/NavHash/digikala-mobile-expert-data.rl_expert_franka_dataset_for_pi0_1Mmerged-expert-understanding-libero-datasetonni-expert-dataset-v1-sql-filteredpython-expert-datasetonni-expert-dataset-v1-typescript-filteredonni-expert-dataset-v1-javascript-filteredexpert-connect4-mcts-expert_mcts_dataset
Expert Connect 4 MCTS Dataset
Dataset Description
This dataset contains Connect 4 game positions generated using expert-level Monte Carlo Tree Search (MCTS) self-play between two strong agents.
Dataset Statistics
Number of games: 1000
Number of positions: 36905
MCTS simulations per move: 1000
Exploration constant: 1.5
Board size: 6x7 (standard Connect 4)
Data Format
Each example contains:
states: 3x6x7 tensor representing the board state
Channel… See the full description on the dataset page: https://huggingface.co/datasets/theGhoul21/expert-connect4-mcts-expert_mcts_dataset.rl_expert_franka_dataset_for_pi0_100Konni-expert-dataset-v1-java-filteredonni-expert-dataset-v1-php-filteredonni-expert-dataset-v1-rust-filteredonni-expert-dataset-v1-c-filteredonni-expert-dataset-v1-ruby-filteredonni-expert-dataset-v1-html-filteredonni-expert-dataset-v1-python-filteredonni-expert-dataset-v1-css-filteredReflectVLM-data-expertqwen_ds_expert_datasetonni-expert-dataset-v1-go-filteredmistral-domain-expert-datadeepfake_dataset_with_expert_captionsqwen_ds_expert_v2_datasetminigrid_expert_dataset