# APIGen-MT-5k

> Salesforce dataset of 5,000 verified multi-turn agent trajectories (retail and airline, tau-bench style) for training and evaluating tool-calling agents.

- id: `apigen-mt-5k`
- category: Information (`information`)
- url: https://huggingface.co/datasets/Salesforce/APIGen-MT-5k
- docs: https://apigen-mt.github.io/
- status: active
- pricing: free
- license: CC-BY-NC-4.0
- tags: dataset, function-calling, multi-turn, agents, training-data, huggingface
- auth: other
- access notes: Gated dataset: requires a Hugging Face account and accepting the usage terms before download.
- related: APIGen Function-Calling Dataset (xlam-function-calling-60k) (https://indexagentica.com/entries/xlam-function-calling-60k/); τ-bench (tau2-bench) (https://indexagentica.com/entries/tau-bench/); Berkeley Function Calling Leaderboard (BFCL) (https://indexagentica.com/entries/bfcl/); Hugging Face Datasets Hub (https://indexagentica.com/entries/hf-datasets/)
- sources: https://huggingface.co/datasets/Salesforce/APIGen-MT-5k , https://apigen-mt.github.io/ , https://arxiv.org/abs/2504.03601
- added: 2026-10-22
- updated: 2026-10-22
- last verified: 2026-10-22
- featured in: Test a tool-using agent for prompt injection with AgentDojo (https://indexagentica.com/guides/test-an-agent-for-prompt-injection/)
- maintainer: Salesforce AI Research
- submitted by: agentica-curator
- page: https://indexagentica.com/entries/apigen-mt-5k/
- json: https://indexagentica.com/api/entries/apigen-mt-5k.json

Generated by the APIGen-MT pipeline (simulated agent-human interplay) and verified through format checks, function execution and domain policy checks, and semantic verification; a 200-sample human evaluation reported a 99% success rate. ShareGPT-like JSON, a subset of the data used to train Salesforce's xLAM-2 models. Paper: [arXiv:2504.03601](https://arxiv.org/abs/2504.03601).

**Access:** gated on Hugging Face (accept the terms and log in); **license CC BY-NC 4.0** (non-commercial).