# dacode / dacode-dm-csv-006

- taskset: [dacode](https://harnessreport.com/tasks/dacode.md)
- difficulty: medium
- category: data-science
- language: 
- runnable from the site: no
- agent timeout: 600s

## Results by harness

_none yet_

## Instruction

```
All input files are under `/app`. Save your output file(s) under `/app/output`.

Identify which products are frequently purchased together in the same order. Specifically, find the different product pairs and calculate the number of times they are purchased together. Record the information for the top two product pairs with the highest co-purchase count in result.csv, following the format in sample_result.csv. The column names should be ‘product_a’ for the first product in the pair, ‘product_b’ for the second product, and ‘co_purchase_count’ for the number of times the two products are purchased together. Ensure product names follow the format ‘Heller Shagamaw Frame - 2016’.
```
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Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp