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gaia-agent-practice-set

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gaia-agent-practice-set / README.md
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GAIA-Agent practice set: 16 tool-use tasks with verifiable answers
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metadata 
license: cc-by-4.0
language:
  - en
pretty_name: GAIA-Agent Practice Set (16 tool-use tasks)
size_categories:
  - n<1K
task_categories:
  - question-answering
tags:
  - agents
  - tool-use
  - evaluation
  - gaia
  - smolagents
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/practice.jsonl

GAIA-Agent Practice Set

16 original, GAIA-Level-1-style tasks with verifiable answers, for regression-testing tool-using agents. Each task can only be solved by using something: a spreadsheet, a CSV, a JSON export, a PDF, a Python file, an audio recording, an image, or a multi-hop Wikipedia lookup. Answers are short and graded by exact or quasi-exact match, as in GAIA.

It was built for GAIA Agent, my agent for the final assignment of the Hugging Face Agents Course (Unit 4). That course's scoring API returns one aggregate number and never says which answers were wrong. A local set with known answers is what lets you debug, measure reliability (pass^k) and run ablations without touching the benchmark.

This is not GAIA. None of these tasks are taken or paraphrased from GAIA or from the course's 20 questions. Every task was written for this set.

What's inside

Skill area Tasks Input files
Spreadsheets (filter, multi-sheet group-by, dates) 2 .xlsx
CSV (time windows, missing values, ranking) 2 .csv
Code (run it, or reason about it backwards) 2 .py
Audio transcription + arithmetic 2 .mp3
Vision (chess diagram, chart reading) 2 .png
Documents and nested data 2 .pdf, .json
Multi-hop Wikipedia lookups 4 none

Answer formats mix numbers, single words and ordered comma lists, so the format rules are tested too.

Fields

Field Meaning
task_id e.g. p01-xlsx-late-loans (p = file task, w = Wikipedia task)
question the task, as given to the agent
file_name path to the attached file under files/, or null
final_answer gold answer
answer_format number, string or ordered_list
skills tags such as file:xlsx, date-arithmetic, multi-hop
source_type generated or wikipedia
source JSON: for generated tasks, how the gold is derived from the file; for Wikipedia tasks, each hop's URL, revision id, retrieval date (2026-10-10) and supporting sentence
canary a canary string (below)

How the gold answers are known

  • Generated tasks (12): generator/build_practice.py builds every file deterministically, and each gold answer is recomputed from the file itself. The project's test suite re-derives every gold answer from the generated files.
  • Wikipedia tasks (4): each hop records the page URL, the exact revision id and the supporting sentence. Answers are pinned to those revisions; a later edit to Wikipedia could change the live page.

Reference results

GAIA Agent (smolagents CodeAgent, free open-weight NVIDIA Nemotron 3 models via OpenRouter, 2026-10-10):

Config Accuracy Notes
Baseline, 4 identical runs 95.3% mean · pass@4 100% · pass^4 93.8% only the chess diagram is flaky
Without audio and image tools 68.8%
Without web tools 93.8% the 4 Wikipedia answers are within the model's own knowledge, so this set does not test retrieval
Manager + 2 specialists 93.8% +47% tokens

With 16 tasks one task is 6.25 points, so treat differences as directional. Full details are in the GAIA Agent repo.

Limitations

  • Small: 16 tasks is a regression suite, not a benchmark.
  • Memorizable web tasks: strong models answer the Wikipedia questions without searching (see the table above).
  • Synthetic files: the inputs are clean and generated, so they are easier than real-world documents.

Licensing and attribution

  • The task text, gold answers and generated files (xlsx, csv, json, pdf, png, py) are released under CC BY 4.0.
  • The supporting sentences in source quote English Wikipedia (CC BY-SA 4.0), each with its page URL and revision id.
  • The two .mp3 files were synthesized with macOS system text-to-speech voices. Check Apple's terms before any commercial use of the audio itself.

Canary

Please don't train on this set. Its canary string, for filtering it out of training corpora, is:

GAIA-AGENT-PRACTICE CANARY 65a201c3-653f-4400-958d-b59accba6eec

Citation 

Badwal, B. (2026). GAIA-Agent Practice Set: 16 tool-use tasks for regression-testing agents.
https://huggingface.co/datasets/bacool/gaia-agent-practice-set