datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
APIGen-MT-5k
Summary
APIGen-MT is an automated agentic data generation pipeline designed to synthesize verifiable, high-quality, realistic datasets for agentic applications
This dataset was released as part of APIGen-MT: Agentic PIpeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Code: https://github.com/apigen-mt/apigen-mt.github.io
The repo contains 5000 multi-turn trajectories collected by APIGen-MT
This dataset is a subset of the data used to train the xLAM-2 model… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/APIGen-MT-5k.SQL-API-Bench
Dataset Card for Dataset Name
This dataset contains QA that requires DB and API access at the same time. It is composed of two new benchmarks consisting of questions whose answers require a
combination of database and API calls, both of
which are augmentations of the popular Spider
dataset and benchmark.
Benchmark I replaces a fraction of the real Spider database tables with
equivalents that are executed via APIs. This allows us to directly test the mechanism by which
database and… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/SQL-API-Bench.oauth-api-security-en
OAuth & API Security Dataset (EN)
Comprehensive English dataset covering OAuth 2.0 vulnerabilities, API attacks (OWASP API Top 10 2023), security controls, and Q&A pairs for training cybersecurity-specialized language models.
Dataset Contents
Category
Entries
Description
OAuth 2.0 Vulnerabilities
20
Authorization Code Interception, CSRF, PKCE bypass, JWT attacks, token leakage
API Attacks
25
BOLA, BFLA, BOPLA, SSRF, GraphQL DoS, gRPC injection, CORS… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/oauth-api-security-en.oauth-api-security-fr
Dataset OAuth & Securite API (FR)
Dataset francophone complet sur les vulnerabilites OAuth 2.0, les attaques API (OWASP API Top 10 2023), les controles de securite, et les questions-reponses pour l'entrainement de modeles de langage specialises en cybersecurite.
Contenu du Dataset
Categorie
Nombre d'entrees
Description
Vulnerabilites OAuth 2.0
20
Authorization Code Interception, CSRF, PKCE bypass, JWT attacks, token leakage
Attaques API
25
BOLA, BFLA, BOPLA… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/oauth-api-security-fr.apigen-mt-5k-parsed
[PARSED] APIGen-MT-5k
The data in this dataset is a full of the original Salesforce/APIGen-MT-5k
Subset name
multi-turn
parallel
multiple definition
Last turn type
number of dataset
apigen-mt-5k
yes
no
yes
complex
5k
This is a re-parsing formatting dataset for the APIGen-MT-5k official dataset.
Load the dataset
from datasets import load_dataset
ds = load_dataset("minpeter/apigen-mt-5k-parsed")
print(ds)
# DatasetDict({
# train: Dataset({
#… See the full description on the dataset page: https://huggingface.co/datasets/minpeter/apigen-mt-5k-parsed.backend-api-instruction-dataset
Backend & API Development Dataset
Instruction dataset focused on RESTful API design, WebSocket real-time communication, microservices patterns, and API best practices.
Dataset Details
Dataset Description
This is a high-quality instruction-tuning dataset focused on Backend Api topics. Each entry includes:
A clear instruction/question
Optional input context
A detailed response/solution
Chain-of-thought reasoning process
Curated by: CloudKernel.IO… See the full description on the dataset page: https://huggingface.co/datasets/bernabepuente/backend-api-instruction-dataset.MapEval-API
MapEval-API
MapEval-API is created using MapQaTor.
Usage
from datasets import load_dataset
# Load dataset
ds = load_dataset("MapEval/MapEval-API", name="benchmark")
# Generate better prompts
for item in ds["test"]:
# Start with a clear task description
prompt = (
"You are a highly intelligent assistant. "
"Answer the multiple-choice question by selecting the correct option.\n\n"
"Question:\n" + item["question"] + "\n\n"… See the full description on the dataset page: https://huggingface.co/datasets/MapEval/MapEval-API.eplan-2027-api-qa
EPLAN 2027 Platform API Q&A for C# Automation
EPLAN 2027 API question-answer dataset for C#/.NET automation, EPLAN
scripting, electrical engineering assistants, code generation, RAG, and LLM
instruction tuning.
This dataset contains grounded English question-answer pairs generated from
excerpts of the EPLAN Platform API 2027 documentation. It is designed for
building assistants that help engineers understand and write EPLAN API scripts,
actions, add-ins, and automation code.… See the full description on the dataset page: https://huggingface.co/datasets/covaga/eplan-2027-api-qa.drupal7-dataset-api
Drupal 7 Dataset API
Drupal 7 reached end of life in early 2025, but plenty of sites still run on it, and the people maintaining them still need good answers. This dataset is meant to help with that: 7,952 examples about the Drupal 7 API, taken only from api.drupal.org. You can use it to fine-tune a model, to test how well a model knows Drupal 7, or as reference material for a retrieval (RAG) setup.
Everything is in English. It was put together by Daniel Ricardo Ramirez Marin as… See the full description on the dataset page: https://huggingface.co/datasets/danemarparceros/drupal7-dataset-api.APIGen-MT-5k
Summary
APIGen-MT is an automated agentic data generation pipeline designed to synthesize verifiable, high-quality, realistic datasets for agentic applications
This dataset was released as part of APIGen-MT: Agentic PIpeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Code: https://github.com/apigen-mt/apigen-mt.github.io
The repo contains 5000 multi-turn trajectories collected by APIGen-MT
This dataset is a subset of the data used to train the xLAM-2… See the full description on the dataset page: https://huggingface.co/datasets/WalterWangtao/APIGen-MT-5k.Nonsense-Internet-Niches
Dataset Card for Dataset Name
[this dataset is basically for internet-cultured LLMs or making a LLM more 21st century humane speech]
cool dataset that has SynthV, Vocaloids, Blender Niches, GTA, literature, Art, ill update it later to have more things soon!1!!
only have like 50s example because only 1 person operating this, the needed components are in file and versions, but you can add others and not mine if you want
In ListsForThings.txt, yes you can actually use it on serious… See the full description on the dataset page: https://huggingface.co/datasets/Apixhed/Nonsense-Internet-Niches.apigen-inferred
apigen-inferred
A verified, GPT-5.5-distilled subset of the
argilla/apigen-function-calling
dataset (109k rows in the upstream), with every golden tool-call argument
labelled as literal or dependency-derived to enable a clean
function-calling benchmark.
Pipeline
Filter the upstream to rows where every called API actually works
(replay each tool call against the real implementation — distilabel
Python functions or live RapidAPI / cached responses) → 45,984 rows.
Distill… See the full description on the dataset page: https://huggingface.co/datasets/gdgc-metacong/apigen-inferred.healthcare-api-tool-calling
Healthcare API Tool Calling Dataset
Dataset Description
This dataset contains 650+ examples of healthcare API tool calling responses in JSON format. Each example includes:
query: Natural language user request
plan: JSON response following healthcare API specification
tools: List of required tools for the response
Dataset Structure
{
"query": "I want to create an appointment",
"plan": {
"action": "create",
"resource": "appointment",
"params":… See the full description on the dataset page: https://huggingface.co/datasets/aldsouza/healthcare-api-tool-calling.API_Discovery_Retrieval_Augmented_Calling
🇰🇿 Kazakh API Discovery and Tool Retrieval Dataset
Dataset Summary
Kazakh API Discovery and Tool Retrieval Dataset is a Kazakh-language dataset designed for training and evaluating Large Language Models (LLMs) in agentic AI workflows that require API discovery, tool documentation retrieval, function calling, and multi-step tool execution.
The dataset focuses on scenarios where the assistant must first inspect or retrieve API documentation before calling the… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/API_Discovery_Retrieval_Augmented_Calling.mirror-APIGen-MT-5k
Summary
APIGen-MT is an automated agentic data generation pipeline designed to synthesize verifiable, high-quality, realistic datasets for agentic applications
This dataset was released as part of APIGen-MT: Agentic PIpeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Code: https://github.com/apigen-mt/apigen-mt.github.io
The repo contains 5000 multi-turn trajectories collected by APIGen-MT
This dataset is a subset of the data used to train the xLAM-2… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-APIGen-MT-5k.