Less setup. More NLP research.
Upload a spreadsheet, compare models, and get results ready for your paper.
- Free to use
- Bring your own key
- Open-source engine
Multilingual QA
16 questions · 8 languages · 3 models
Nemotron 3 Ultra
free
Nemotron 3 Super
free
LFM 2.5 2.6B
free
Scoring that handles scripts without spaces
- English
- မြန်မာ
- ไทย
- 中文
- 日本語
- 한국어
How it works
Spreadsheet to paper in six steps
- 01
Upload
An Excel or CSV file, one row per example.
- 02
Map columns
Mark inputs, context, and the answer key.
- 03
Write a prompt
Use your columns, like {sentence}.
- 04
Pick models
Free or paid, up to six at once.
- 05
Run
With retries, pacing, and live progress.
- 06
Export
Excel, LaTeX, and a reproducibility config.
Features
Made for the way you write papers
Compare models in one run
Run several models on the same data and see scores side by side.
Built for free tiers
Bring your own key. Requests are paced to fit free limits.
Metrics that fit research
Accuracy, F1, and more, with tokenisation that works for Burmese, Thai, Chinese, Japanese, and Korean.
Paper-ready output
A LaTeX table and an Excel workbook with every score.
Reproducible
Every run records models, prompt, seed, and a data hash, so reviewers can repeat it.
Your data stays yours
Keys are encrypted, and you can delete everything anytime.
Open source
Open source at the core
The engine is open source (Apache 2.0) and citable. Prefer the command line? Use it directly.
$ pip install paperlab-space
$ paperlab-space init my_data.xlsx
$ paperlab-space run run.yamlYour next results table is one upload away
Sign in with Google, add a free key, and run your first evaluation.