datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SFT-COIG-CQIA-handbook
SFT-COIG-CQIA-handbook
The rearranged dataset for direct use in alignment-handbook.
数据完全来自于COIG-CQIA。
暂时忽略了chinese_traditional，coig_pc，exam，finance这些转换麻烦或者语义上不适合当QA数据集的subset。
其中train是全集，test是ruozhiba，以便代码能够跑通。
@misc{bai2024coig,
title={COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning},
author={Bai, Yuelin and Du, Xinrun and Liang, Yiming and Jin, Yonggang and Liu, Ziqiang and Zhou, Junting and Zheng, Tianyu and Zhang, Xincheng and Ma, Nuo and Wang… See the full description on the dataset page: https://huggingface.co/datasets/Starlento/SFT-COIG-CQIA-handbook.HanDyVQA
HanDyVQA Dataset 👋
HanDyVQA (Hand-Object Dynamics Video Question Answering) Dataset is a new benchmark for evalutating abundant spatio-temporal dynamics, process, and effects contained in hand-object interactions. This dataset is built on top of Ego4D Dataset.
Get Started
0. Install LFS
If you haven’t already, install Git Large File Storage (LFS):
git lfs install
1. Clone Repository
git clone https://huggingface.co/datasets/aist-cvrt/HanDyVQA… See the full description on the dataset page: https://huggingface.co/datasets/aist-cvrt/HanDyVQA.mathlib_handler_benchmark_410This dataset is used in the paper Assisting Mathematical Formalization with A Learning-based Premise Retriever. It contains data for training and evaluating a premise retriever for the Lean theorem prover.
The dataset is described in detail in the GitHub repository. It consists of proof states and corresponding premises from the Mathlib library. The data is designed to train a model to effectively retrieve relevant premises for a given proof state, assisting users in the mathematical… See the full description on the dataset page: https://huggingface.co/datasets/ruc-ai4math/mathlib_handler_benchmark_410.DPO-En-Zh-20k-handbook
DPO-En-Zh-20k-handbook
The rearranged dataset for direct use in alignment-handbook.
Data from DPO-En-Zh-20k.
The original 10k + 10k are split to 9900 + 9900 for train and 100 + 100 for test.
agent-session-handoff
Agent Session Handoff
Synthetic operations-agent transcripts for studying knowledge retention across a model swap: does a compressed
KV-cache memory keep more of a session than a text summary when the next model takes over?
Each episode is built from a sampled fact record (service owners, ports, branches, config values, ticket states,
decisions) rendered by an LLM writer into a realistic user / assistant / tool-output session. The writer never sees the
questions. A swap point… See the full description on the dataset page: https://huggingface.co/datasets/Narmeen07/agent-session-handoff.omnimcp_mcp_protocol_handshake_router_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_mcp_protocol_handshake_router_teaser.gitlab-handbook-bm25-3078d0213524
GitLab Handbook BM25 Gold Reference
This dataset is the gold reference train/eval split for a Castform RAG RL run over the GitLab handbook using BM25/Postgres search.
Files
train_dataset.jsonl: 256 training rows
eval_dataset.jsonl: 64 evaluation rows
diagnostics.jsonl: BM25 reachability diagnostics for the 320 candidate rows
manifest.json: source, corpus, curriculum, hashes, and reference run metadata
metrics.json: validation and completed Qwen3.5-4B… See the full description on the dataset page: https://huggingface.co/datasets/wingedbreadsticks/gitlab-handbook-bm25-3078d0213524.omnimcp_subscription_lifecycle_handler_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_subscription_lifecycle_handler_teaser.CUI-Marking-Handbook
CUI Marking Handbook Question Answering Dataset
Maintainer: Terry Eppler
Ownership: US Federal Government
Dataset Summary
The CUI Marking Handbook Question Answering Dataset is a synthetic
instruction-style question-answering dataset derived from the CUI Marking
Handbook, Version 1.1 — December 6, 2016.
The dataset is designed to support training, fine-tuning, retrieval evaluation,
and domain-specific question-answering use cases related to Controlled… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/CUI-Marking-Handbook.Incident-Management-Handbook
FEMA Incident Management Handbook Question-Answer Dataset
Maintainer: Terry Eppler
Owner: US Federal Government
Dataset Summary
This dataset contains document-grounded question-and-answer records based on the Federal Emergency Management Agency Incident Management Handbook.
The FEMA Incident Management Handbook is an operational reference for FEMA personnel assigned to incident-level response and recovery missions. It describes FEMA incident-management… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/Incident-Management-Handbook.faa-balloon-flying-handbook
FAA Balloon Flying Handbook Dataset
This dataset was created by processing the official FAA Balloon Flying Handbook (FAA-H-8083-11B).
If you're interested in understanding how this dataset was created, check out this blog post
or explore the details directly in the GitHub repository.
Usage:
from datasets import load_dataset
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("gsantopaolo/faa-balloon-flying-handbook")
print(dataset)
# Print the first 5 rows… See the full description on the dataset page: https://huggingface.co/datasets/gsantopaolo/faa-balloon-flying-handbook.llm-handbook-rag-eval
LLM Engineer's Handbook RAG Evaluation Dataset
A comprehensive evaluation dataset for testing Retrieval-Augmented Generation (RAG) systems, derived from the LLM Engineer's Handbook by Paul Iusztin and Maxime Labonne (Packt Publishing, October 2024).
Dataset Details
Dataset Description
This dataset contains 150 question-answer pairs designed to evaluate RAG system performance across multiple dimensions. Questions are categorized by type, difficulty, and the… See the full description on the dataset page: https://huggingface.co/datasets/swtb/llm-handbook-rag-eval.boyscouts-handbook-1911
Boy Scouts Handbook: The First Edition, 1911
A small retrieval and RAG evaluation corpus derived from the
Boy Scouts Handbook: The First Edition, 1911, available through
Project Gutenberg as eBook #29558.
Source
Source: Project Gutenberg eBook #29558
Title: Boy Scouts Handbook: The First Edition, 1911
Publisher: Boy Scouts of America
Year: 1911
Source URL: https://www.gutenberg.org/ebooks/29558
Source status: Public domain in the United States
Corpus… See the full description on the dataset page: https://huggingface.co/datasets/dsergio-hf/boyscouts-handbook-1911.Customer_Reviews-Second_Hand_ApparelsI wrote the following script to scrape the data from a platform that sells second-hand apparel and clothing.
Github | Customer Reviews for Second Hand Apparels
The reviews are available for only about 3500 products from the links.txt file. This is only 20% of the total available products. Feel free to clone the script yourself and scrape on your system if you need more data.
reviews.json file contains the data you can use for learning or research purposes. This file contains customer reviews… See the full description on the dataset page: https://huggingface.co/datasets/ChaoticQubit/Customer_Reviews-Second_Hand_Apparels.boyscouts-handbook-1911-qrels
Boy Scouts Handbook: The First Edition, 1911
A small retrieval and RAG evaluation corpus derived from the
Boy Scouts Handbook: The First Edition, 1911, available through
Project Gutenberg as eBook #29558.
Source
Source: Project Gutenberg eBook #29558
Title: Boy Scouts Handbook: The First Edition, 1911
Publisher: Boy Scouts of America
Year: 1911
Source URL: https://www.gutenberg.org/ebooks/29558
Source status: Public domain in the United States
Corpus… See the full description on the dataset page: https://huggingface.co/datasets/dsergio-hf/boyscouts-handbook-1911-qrels.amt-airframe-handbook-dataset
AMT Airframe Handbook Dataset
A comprehensive dataset extracted from the FAA Aviation Maintenance Technician (AMT) Airframe Handbook, containing text content and rendered page images suitable for training vision-language models.
Overview
This dataset was created using the doc-parser-engine - a production-grade document parsing engine with HuggingFace integration. The source document is the FAA… See the full description on the dataset page: https://huggingface.co/datasets/Remixonwin/amt-airframe-handbook-dataset.Customer_Reviews-Second_Hand_ApparelsI wrote the following script to scrape the data from a platform that sells second-hand apparel and clothing.
Github | Customer Reviews for Second Hand Apparels
The reviews are available for only about 3500 products from the links.txt file. This is only 20% of the total available products. Feel free to clone the script yourself and scrape on your system if you need more data.
reviews.json file contains the data you can use for learning or research purposes. This file contains customer reviews… See the full description on the dataset page: https://huggingface.co/datasets/al5nfsharyh/Customer_Reviews-Second_Hand_Apparels.Exception_Failure_Handling
🇰🇿 Kazakh Exception and Tool Failure Handling Dataset
Dataset Summary
Kazakh Exception and Tool Failure Handling Dataset is a Kazakh-language dataset designed for training and evaluating Large Language Models (LLMs) in agentic AI workflows where tool calls may fail, return errors, or require retry behavior.
The dataset contains user requests, available tool schemas, expected tool calls, mock tool responses, tool failure messages, retry attempts, and final… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Exception_Failure_Handling.HandyAIdataset