datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
drbench
DRBench: A Realistic Benchmark for Enterprise Deep Research
📄 Paper | 💻 GitHub | 💬 Discord
DRBench is the first of its kind benchmark designed to evaluate deep research agents on complex, open-ended enterprise deep research tasks. It tests an agent's ability to conduct multi-hop, insight-driven research across public and private data sources, just like a real enterprise analyst.
✨ Key Features
🔎 Real Deep Research Tasks: Not simple fact lookups. Tasks… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow/drbench.AgentJudgeBench
AgentJudgeBench: Evaluating LLM Judge Reliability on Agentic Tool-Calling
A benchmark for systematically evaluating how reliably LLM judges assess
agentic tool-calling workflows across structured, dependency-driven tasks.
Why this benchmark?
AgentJudgeBench measures how reliably LLM judges assess agentic tool-calling outputs. It provides 3,808 benchmark records spanning six DAG topologies and three difficulty… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow-AI/AgentJudgeBench.Dr-CiK
Dr-CiK: A Testbed for Foresight-Driven Agents
Dr-CiK is a benchmark for evaluating whether agents can retrieve
forecasting-relevant context from a noisy document corpus, filter out
distractors, distill the retrieved context into forecast-useful evidence, and
produce forecasts grounded in that evidence.
Real-world time-series forecasting often depends not only on historical
observations but also on external context that must be actively discovered
from heterogeneous, noisy… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow/Dr-CiK.orc-bench
ORC-bench
Task 1: Topological Path Finding
Task 2: Topological Connectivity
Task 3: Linear Power Flow
Task 4: Contingency Analysis
Task 5: Power Grid ControlTask 6: Power Flow Optimization
Task 1: Topological Path Finding
Problem Formulation
This task assesses the spatial reasoning ability of the model by asking it to determine the shortest path between two specific buses in a given power grid state. The grid state… See the full description on the dataset page: https://huggingface.co/datasets/serval-uni-lu/orc-bench.brazilian-customer-service-conversations
Brazilian Customer Service Conversations
Dataset de conversas de atendimento ao cliente em portugues brasileiro (PT-BR).
De um like me apoie em manter esse dataset!
Descricao
Conversas sinteticas de alta qualidade simulando interacoes reais entre clientes e atendentes em diversos setores da economia brasileira. Util para treinar e avaliar modelos de:
Chatbots de atendimento
Classificacao de intencao (intent classification)
Analise de sentimento em conversas
Geracao de… See the full description on the dataset page: https://huggingface.co/datasets/RichardSakaguchiMS/brazilian-customer-service-conversations.bible-reference
Bible Reference Corpus
Thirteen aligned reference datasets for study of the biblical text: Greek and
Hebrew lexicons keyed to Strong's numbers, an interlinear word map, the critical
apparatus of eight Greek editions, cross-reference and topical indexes, and
geolocated places.
Published by SermonIndex.
Everything in this repository is public domain or CC BY 4.0. Sources with
share-alike terms are kept in a separate repository,
sermonindex/bible-reference-sa,
so that a share-alike… See the full description on the dataset page: https://huggingface.co/datasets/sermonindex/bible-reference.early-church-fathers
Early Church Fathers — Scripture Citation Index
68,240 passages from 349 Church Fathers, each keyed to the Bible verse it
comments on. Drawn from 20,253 distinct works and covering all 66 books.
This is a patristic catena in machine-readable form: given a verse, it returns
what the Fathers said about it. Nothing comparable exists as an open dataset —
the underlying translations are freely available, but the verse-level alignment
is the work, and that is what this releases.… See the full description on the dataset page: https://huggingface.co/datasets/sermonindex/early-church-fathers.context-as-a-service
CaaS Benchmark Corpus v1
A diverse collection of synthetic enterprise documents for benchmarking context extraction and RAG systems.
Dataset Description
This dataset contains 16 representative enterprise documents spanning multiple formats and domains, designed to evaluate:
Structure-aware indexing - Can the system identify high-value vs. low-value content?
Time decay relevance - Does the system properly weight recent vs. old information?
Pragmatic truth detection - Can… See the full description on the dataset page: https://huggingface.co/datasets/imran-siddique/context-as-a-service.Serendip-sft-sinhala
Serendip-SFT-Sinhala Dataset 🇱🇰
📊 Dataset Summary
Serendip-SFT-Sinhala is a large-scale Sinhala instruction-tuning dataset with 293,613 high-quality examples for supervised fine-tuning (SFT) of large language models.
Created to train SerendipLLM, a Sinhala language model designed to excel at instruction-following, question-answering, summarization, and text classification.
🌟 Highlights
🇱🇰 293,613 Sinhala examples (largest Sinhala SFT dataset)
📚 4 task… See the full description on the dataset page: https://huggingface.co/datasets/Chamaka8/Serendip-sft-sinhala.Customer-service-tickets-qwen-qa
Customer Support Tickets QA (English) — Qwen SFT Dataset
This dataset is formatted for supervised fine-tuning (SFT) of Qwen-style chat models on customer support email tasks. source dataset: Tobi-Bueck/customer-support-tickets
It is designed for training models to read a customer ticket, understand its context, and generate an appropriate support response. Depending on the prompt design, the same data can also support auxiliary tasks such as queue prediction, priority prediction… See the full description on the dataset page: https://huggingface.co/datasets/W-L/Customer-service-tickets-qwen-qa.sera-phase2-saudi-dialect-rag
SERA Saudi Dialect RAG Dataset (Phase 2 - Domain)
Domain-specific RAG fine-tuning dataset for Saudi Arabic dialect,
focused on Saudi Electricity Regulatory Authority (SERA) documents.
Format
LlamaFactory Alpaca format:
Field
Description
instruction
System prompt + real document chunk as context + question in Saudi dialect
input
Always empty
output
Answer in Saudi dialect
Usage with LlamaFactory
Copy the JSON files into your LlamaFactory… See the full description on the dataset page: https://huggingface.co/datasets/Rabe3/sera-phase2-saudi-dialect-rag.turkish-comprehensive-movie-series-dataset
Beyazperde Film & Series Dataset
This dataset contains a comprehensive collection of Turkish films and TV series from Beyazperde.com, including detailed information about movies, series, cast, reviews, and ratings.
Dataset Summary
Total Movies: 27,227
Total Series: 11,240
Total Entries: 38,467
File Size: ~222 MB
Format: JSONL (JSON Lines)
Language: Turkish
Source: Beyazperde.com
Data Structure
Each line in the JSONL file contains a JSON object… See the full description on the dataset page: https://huggingface.co/datasets/pkchwy/turkish-comprehensive-movie-series-dataset.spotless-customer-service-training
Spotless Bin Co Customer Service Training Data
Training data for a customer service AI model for Spotless Bin Co, a residential trash can cleaning service.
Dataset Description
This dataset contains 8,776 conversational examples across 5 categories:
Category
Count
Description
FAQs
1,951
Frequently asked questions
Service
1,925
Service explanation dialogues
Objections
1,925
Objection handling examples
Booking
1,975
Booking flow conversations
Brand
1,000… See the full description on the dataset page: https://huggingface.co/datasets/rileyseaburg/spotless-customer-service-training.sud-corpus-v2
SUD Corpus v2: исторический ущерб женщинам как система
Этот корпус создан, чтобы отдельные истории женщин перестали выглядеть набором случайных исключений и стали читаемыми как повторяемые механизмы права, труда, семьи, медицины, культуры, религии и производства знания.
Русская версия
Что это за корпус
SUD Corpus v2 — открытый исследовательский корпус проекта СУД, содержащий 514 полнотекстовых материалов о системном историческом ущербе женщинам… See the full description on the dataset page: https://huggingface.co/datasets/Sergey23214/sud-corpus-v2.customer_service_dataset
GTBank Customer Service – Synthetic Dataset
Overview
This dataset contains 500 synthetic user_query / assistant_reply pairs modeled on common GTBank (Guaranty Trust Bank) retail banking customer support interactions, such as password resets, debit card activation, failed transactions, and KYC/transfer limits. It is entirely synthetic — no real customer data, transcripts, or GTBank systems were used — and is intended for prototyping and testing customer-support NLP… See the full description on the dataset page: https://huggingface.co/datasets/Ephraimmm/customer_service_dataset.Multilingual-Nepali-Customer-Care-Services-DatasetCustomer-Care-Services-Dataset-in-Nepali