Download tasks/0001_137_1137537_qa_2/instruction.md from FineEnvs/SmolDataEnvs-harbor-train: direct link, hf CLI and curl.
- Browser
- Download file 969 Bytes
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https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-train/resolve/main/tasks/0001_137_1137537_qa_2/instruction.md
- Command line
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hf download hf://datasets/FineEnvs/SmolDataEnvs-harbor-train/tasks/0001_137_1137537_qa_2/instruction.md
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curl -L -o instruction.md https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-train/resolve/main/tasks/0001_137_1137537_qa_2/instruction.md
You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer.
Files (in /home/user/input, no subfolders):
- dataset_TSMC2014_NYC.csv
- dataset_TSMC2014_TKY.csv
Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed).
Question: What are the geographic coordinates of the closest check-in point to the convex hull centroid in New York City?
Work it out step by step — inspect the data first (head, shape, dtypes), then compute.
Answer as a comma-separated pair of coordinates: , .
Answer with a single clean value: a bare number (no commas or units, e.g. 95293), a short label, yes/no, or a comma-separated list. Keep decimal precision. If there's no applicable answer, write: Not Applicable
Write only that value to /workdir/answer.txt (e.g. echo -n "<value>" > /workdir/answer.txt), then stop.