evaluation_image stringlengths 54 73 | instance_id stringlengths 3 22 | package_name stringlengths 3 46 | start_instruction stringlengths 1.17k 32.7k | test_cases_num int64 4 2.18k | verify_cmd listlengths 1 4 | verify_files listlengths 1 12 |
|---|---|---|---|---|---|---|
ghcr.io/multimodal-art-projection/nl2repobench/voluptuous:1.0 | voluptuous | voluptuous | ## Introduction and Goals of the voluptuous Project
Voluptuous is a Python data validation library specifically designed to validate data structures entering Python (such as JSON, YAML, etc.). Despite its "tempting" name, it is actually a very practical data validation tool. The project has three core goals:
1. Simpl... | 152 | [
"pip install -e .",
"pytest --continue-on-collection-errors tests"
] | [
"tests"
] |
ghcr.io/multimodal-art-projection/nl2repobench/deepdiff:1.0 | deepdiff | deepdiff | # Introduction and Goals of the DeepDiff Project
DeepDiff is a Python library **designed for in-depth object comparison and difference analysis**. It can perform a thorough comparison of any Python objects/data structures and detect differences. This tool excels in comparing complex data structures, achieving "the mos... | 970 | [
"pip install -e .",
"pytest --continue-on-collection-errors tests"
] | [
"tests"
] |
ghcr.io/multimodal-art-projection/nl2repobench/humanize:1.0 | humanize | humanize | ## Introduction and Goals of the Humanize Project
Humanize is a Python library **aimed at humanizing data display**, capable of converting data such as numbers, times, and file sizes into human-readable and friendly formats. This tool performs excellently in scenarios such as data presentation, user interfaces, and lo... | 607 | [
"pip install -e .",
"pytest --continue-on-collection-errors tests"
] | [
"tests/test_filesize.py",
"tests/test_i18n.py",
"tests/test_lists.py",
"tests/test_number.py",
"tests/test_time.py"
] |
ghcr.io/multimodal-art-projection/nl2repobench/jsonlines:1.0 | jsonlines | jsonlines | ## Introduction and Goals of the jsonlines Project
jsonlines is a Python library **designed for processing data in the JSON Lines (line-by-line JSON) format**, aiming to simplify the reading and writing operations of .jsonl/ndjson files. This tool supports efficient line-by-line reading and writing of large-scale JSON... | 27 | [
"pip install -e .",
"pytest --continue-on-collection-errors tests"
] | [
"tests"
] |
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