datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
function_calling_extended
Trelis Function Calling Dataset
UPDATE: As of Dec 5th 2023, there is a v3 of this dataset now available from here.
Allows models to be fine-tuned for function-calling.
The dataset is human generated and does not make use of Llama 2 or OpenAI!
Contains 59 training and 17 test rows
Based on eight functions: search_bing, search_arxiv, save_chat, read_json_file, list_files, get_current_weather, delete_file, clear_chat
Access this dataset by purchasing a license HERE.
Alternatively… See the full description on the dataset page: https://huggingface.co/datasets/Trelis/function_calling_extended.function-calling-small
数据集内容说明:
包含700+个阿里云OpenAPI的信息;包括Dataworks,EMR，DataLake，Maxcompute，Hologram,实时计算Flink版，QuickBI,DTS等多个产品的公开Open API信息。
样例
{
"systemPrompt": 你是一个函数筛选助理，如果与问题相关的话,您可以使用下面的函数来获取更多数据以回答用户提出的问题:{"function": "UpdateTicketNum", "description": "对用于免登嵌入报表的指定的ticket进行更新票据数量操作。", "arguments": [{"name": "Ticket", "type": "string", "description": "三方嵌入的票据值，即URL中的accessTicket值。"}, {"name": "TicketNum", "type": "integer", "description": "票据数。\n- 取值范围：1~99998，建议值为1。"}]}{"function":… See the full description on the dataset page: https://huggingface.co/datasets/Deepexi/function-calling-small.glaive_function_calling_v1_standardizedalpaca_function_calling_dataset
AI 와 빅데이터 분석 전문 기업인 Linkbricks(www.linkbricks.com)의 데이터사이언티스트인 지윤성(Saxo) 박사가 만든 llm RAG를 위한 function calling 학습용 데이터셋으로 llam3 instruct format인 mzbac/function-calling-llama-3-format-v1.1 을 Alpaca Format으로 변경.
Changed the llam3 instruct format, mzbac/function-calling-llama-3-format-v1.1, to Alpaca Format as a dataset for learning function calling for the llm RAG, created by Dr. Ji Yun Sung(Saxo), a data scientist at Linkbricks (www.linkbricks.com), a company specializing in AI and big… See the full description on the dataset page: https://huggingface.co/datasets/Saxo/alpaca_function_calling_dataset.text_message_function_calling_open_chatThis is a small synthetic dataset to model a function call for text messaging someone from a cell phone. This has been tested with and used to finetune a set of smaller models and deployed directly on the pixel 8 pro and Fold 4 phones.
function_calling_v3_SAMPLE
Trelis Function Calling Dataset - VERSION 3 - SAMPLE
This is a SAMPLE of the v3 dataset available for purchase here.
Features:
Allows models to be fine-tuned for function-calling.
The dataset is human generated and does not make use of Llama 2 or OpenAI!
The dataset includes 66 training rows, 19 validation rows and 5 test rows (for manual evaluation).
Based on eight functions: search_bing, search_arxiv, save_chat, read_json_file, list_files, get_current_weather, delete_file… See the full description on the dataset page: https://huggingface.co/datasets/Trelis/function_calling_v3_SAMPLE.pulmonary-disease-airway-lung-function-dataset
Acoustic Waveform Airway and Respiratory Examination (AWARE/PTEase) Dataset
Guidelines
AWARE/PTEase is a smartphone-based sensing system that examines human airway's internal physiological conditions, developed by the Intelligent Systems Laboratory at University of Pittsburgh. AWARE/PTEase probes the airway with acoustic pulses through mouth, and collect the airway's reflections for analysis. Please refer to our paper and github repo for more details.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/ericyxy98/pulmonary-disease-airway-lung-function-dataset.prosite_functional_motif_scaffolding_benchmark
PROSITE-derived Functional Motif Benchmark
This archive contains an anonymized dataset artifact for a systematically derived benchmark of structurally conserved functional motif-scaffolding cases from PROSITE-linked experimental protein structures.
The benchmark is intended for static motif-scaffolding evaluation with standard MotifBench-style pipelines. Cases are derived from PROSITE motif-pattern entries, mapped to experimentally resolved PDB structures, filtered for recurrent… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-motif-scaffolding/prosite_functional_motif_scaffolding_benchmark.function-calling-sharegpt
Dataset Description: Conversation Template Collection
Overview
This dataset contains structured conversation templates following the ShareGPT format, designed for training and evaluating conversational AI models.
Data Structure
1. Conversation Format
Each conversation is structured as an array of message objects:
[
{
"role": "<role_type>",
"content": "<message_content>"
}
]
Where role_type can be:
system: System-level instructions
user:… See the full description on the dataset page: https://huggingface.co/datasets/nguyenthanhthuan/function-calling-sharegpt.openai-formate-function-calling-small
数据集内容说明:
包含700+个阿里云OpenAPI的信息;包括Dataworks,EMR，DataLake，Maxcompute，Hologram,实时计算Flink版，QuickBI,DTS等多个产品的公开Open API信息。
Functions信息与OpenAI functions calling 能力中，functions信息传入的格式保持一致
样例
{
"systemPrompt": 你是一个函数筛选助理，如果与问题相关的话,您可以使用下面的函数来获取更多数据以回答用户提出的问题:{""name"": ""UpdateTicketNum"", ""description"": ""对用于免登嵌入报表的指定的ticket进行更新票据数量操作。"", ""parameters"": {""type"": ""object"", ""properties"": [{""Ticket"": {""type"": ""string"", ""description"":… See the full description on the dataset page: https://huggingface.co/datasets/Deepexi/openai-formate-function-calling-small.FishCaduceus-Functional-Site-Benchmark
FishCaduceus Functional Site Benchmark
Dataset description
This dataset contains sequence-based benchmarks for four gene-annotation tasks used to evaluate FishCaduceus:
translation initiation site (TIS) prediction
translation termination site (TTS) prediction
splice donor site prediction
splice acceptor site prediction
The benchmark was designed to evaluate both within-species performance and cross-species transfer. Models are trained and selected only with… See the full description on the dataset page: https://huggingface.co/datasets/FishCaduceus/FishCaduceus-Functional-Site-Benchmark.functioncaliingfunction_call_weathernexus-function-callingavatar-functionsThere is no difference between 'train' and 'test', these are just used thus the csv file can be detected by huggingface.
max_java_exp_len=1784
max_python_exp_len=1469
vulnerable-functions-baseThese datasets serve as a basis for other datasets in this family which are built for tasks like Classification or Seq2Seq generation.
1. Smart Contract Vulnerabilities with Explanations (vulnerable-w-explanations)
This repository offers two datasets of Solidity functions,
This dataset comprises vulnerable Solidity functions audited by 5 auditing companies:
(Codehawks, ConsenSys, Cyfrin, Sherlock, Trust Security). These audits are compiled by Solodit.
Usage
from… See the full description on the dataset page: https://huggingface.co/datasets/msc-smart-contract-auditing/vulnerable-functions-base.function_calling_hotel_readNemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Function-Calling-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only.arabic_functional_text_dimensions
Dataset Card for Functional Text Dimensions for Arabic Text Classification.
Dataset Summary
The Arabic Functional Text Dimensions Corpus (AFTD Corpus) is introduced as a curated collection of Arabic documents aimed at evaluating text classification methodologies using the Functional Text Dimensions (FTD) approach. This corpus comprises 3,400 documents covering 17 distinct class categories, designed to enhance text classification in Arabic.
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/zeydferhat/arabic_functional_text_dimensions.FunctionKey_Bag_Events_Database
FunctionKey_Bag_Events_Database
tags: event planning, ticket sales forecasting, attendee behavior
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description: The dataset titled 'FunctionKey_Bag_Events_Database' is a curated collection of information relevant to music festivals and events, focusing on the commercial and operational aspects of the industry. It includes contractual agreements, ticket sales forecasts, attendee behavior patterns… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/FunctionKey_Bag_Events_Database.MemGPT-Functions-DPO-2
MIGRATED TO THE OFFICIAL MEMGPT HF PAGE!
made for MemGPT function calling. generated using gpt4.
alphafold-folding-trajectory-functional-stability-coherence-v0.1What this dataset tests
Whether predicted folding trajectories
remain predictive of functional stability
under stress conditions.
Structure alone is not enough.
The path to structure must stay coherent
with real-world stability.
When that relationship breaks
therapeutic proteins fail
in storage
manufacturing
or use.
Required outputs
trajectory_coherence_score
stability_divergence_flag
degradation_horizon_hours
critical_structure_region
stabilization_strategy
Use case
Antibody engineering… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-folding-trajectory-functional-stability-coherence-v0.1.hermes-function-calling-v1explicit-function-calling-frenchturkish-mobile-function-calling-dataset
Turkish Mobile Function Calling Dataset
Türkçe
Bu veri seti, Türkçe mobil komutları function-calling / action-router formatına dönüştürmek için hazırlanmıştır. Özellikle Qwen 2.5, Qwen 3, FunctionGemma ve benzeri küçük text-only dil modellerinin fine-tuning çalışmalarında kullanılmak üzere tasarlanmıştır.
Amaç, kullanıcının doğal dilde verdiği mobil komutu aşağıdaki gibi tek satırlık JSON function-call çıktısına çevirmektir:
{"name":"set_alarm","arguments":{"time":"08:00"… See the full description on the dataset page: https://huggingface.co/datasets/BTX24/turkish-mobile-function-calling-dataset.function-calling-dataset-Hindi-englishatis_function_calling
Dataset Card for ATIS Function Calling
A synthetically generated, conversational, function-calling dataset in Llama-3 format, made for air-travel-based customer support.
Dataset Details
Dataset Description
Using the ATIS intent classification dataset, and by prompting GPT-3.5-turbo, we created this multi-turn conversational dataset.
The conversations are in the Llama-3 format, in which the assistant uses customer appropriate langauge.
The assistant also… See the full description on the dataset page: https://huggingface.co/datasets/ashu42/atis_function_calling.CH-borylation-functionalisation-reaction-datasetevil-v2-functionuncertainty-incompleteness-functional-unknowns-genomics-v01
Dataset
ClarusC64/uncertainty-incompleteness-functional-unknowns-genomics-v01
This dataset tests one capability.
Can a model resist inventing biological function when evidence is incomplete.
Core rule
Genomics contains large unknowns.
A claim must respect
incomplete annotation
context specific regulation
limits of prediction
absence of functional validation
Prediction is not proof.
Annotation is not mechanism.
Expression is not causation.
Canonical labels… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/uncertainty-incompleteness-functional-unknowns-genomics-v01.