data-agents
agents-last-exam-data
Agents Last Exam — Task Input Data
Input files (the materials each task hands to the agent at run start) for the
Agents Last Exam (ALE) benchmark. Browsable per-task directory layout.
The Agents Last Exam dataset family
ALE is published as three companion HuggingFace datasets:
Dataset
Contents
Access
Task Card Metadata
One row per task: titles, prompts, taxonomy, input-file descriptors
Open
Task Input Data
The input/ files each task hands the agent at… See the full description on the dataset page: https://huggingface.co/datasets/agents-last-exam/agents-last-exam-data.agents-last-exam-data-archive
Agents Last Exam — Task Data Archive (input + reference)
⚠️ Gated dataset. This repo packages each task's input, software, and
reference (ground-truth) data into a single archive (ale-tasks-data.tar.gz)
for convenient one-shot download — in particular for running ALE locally with
the local Docker provider,
which fetches it and mounts each task's data at run time. Because it includes
the reference outputs used to score runs, access requires login, agreement to
the terms on the… See the full description on the dataset page: https://huggingface.co/datasets/agents-last-exam/agents-last-exam-data-archive.lectura-agents-data
LectūraAgents Dataset
Overview
This dataset is in support of findings in our paper LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching. LectūaAgents is a hierarchical multi-agent framework that enables end-to-end personalized learning experiences through adaptive embodied teaching. It mirrors a professor–students’ relationship, wherein a ProfessorAgent guides a collaborative team of specialized subordinate… See the full description on the dataset page: https://huggingface.co/datasets/Jaward/lectura-agents-data.data-agent-sft
🛠️ Data Agent — SFT
4,677 worked examples of an agent doing data science the right way. Each row is a complete,
verified-correct trajectory: read the question, poke at the data with a shell tool, reason,
compute, and write the answer. Every one of these solved its task and passed a deterministic grader
— so you're fine-tuning on demonstrations that are known to be correct, not just plausible.
Drop-in ready for TRL: conversational messages + tools.
Where it comes… See the full description on the dataset page: https://huggingface.co/datasets/FineEnvs/data-agent-sft.PyVision-Image-SFT-Data
PyVision-Image-RL-Data
Project Page | Paper | GitHub
This repository contains the reinforcement learning (RL) data used to train PyVision-Image-RL, as presented in the paper "PyVision-RL: Forging Open Agentic Vision Models via RL".
PyVision-RL is a reinforcement learning framework for open-weight multimodal models designed to stabilize training and sustain interaction, preventing interaction collapse and encouraging multi-turn tool use in agentic tasks.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Agents-X/PyVision-Image-SFT-Data.insta-150k-v3
InSTA: Towards Internet-Scale Training For Agents
Brandon Trabucco (1) Gunnar Sigurdsson (2) Robinson Piramuthu (2) Ruslan Salakhutdinov (1)
(1) Carnegie Mellon University, Machine Learning Department (2) Amazon
This is a dataset from the authors of the paper Towards Internet-Scale Training For Agents, and contains 150k web navigation tasks to facilitate internet-scale training of LLM agents without relying heavily on human annotations. The dataset is split into… See the full description on the dataset page: https://huggingface.co/datasets/data-for-agents/insta-150k-v3.