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Download external_benchmarks/olist/README.md from CoreModelsResearch/DAO: direct link, hf CLI and curl.
- Browser
- Download file 805 Bytes
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https://huggingface.co/spaces/CoreModelsResearch/DAO/resolve/main/external_benchmarks/olist/README.md
- Command line
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hf download hf://spaces/CoreModelsResearch/DAO/external_benchmarks/olist/README.md
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curl -L -o README.md https://huggingface.co/spaces/CoreModelsResearch/DAO/resolve/main/external_benchmarks/olist/README.md
805 Bytes
Olist External Benchmark
This benchmark validates that the existing data-agent pipeline can run on an external public relational dataset using the same task structure as the main benchmark.
Tasks
| Task ID | Description | Difficulty |
|---|---|---|
task_olist_01 |
Top 5 customer states by delivered revenue | Medium |
task_olist_02 |
Late vs on-time delivery review scores | Medium |
task_olist_03 |
Product categories with highest freight-to-price ratio | Medium |
Required raw CSV files
Download the Olist Brazilian E-Commerce dataset (https://www.kaggle.com/datasets/olistbr/brazilian-ecommerce) and copy the relevant CSVs into each task's context/csv/ directory.
task_olist_01
olist_orders_dataset.csv
olist_customers_dataset.csv
olist_order_items_dataset.csv