Datasets:
Tasks:
Text Classification
Formats:
parquet
Sub-tasks:
multi-label-classification
Size:
10K - 100K
License:
Download eval.yaml from Cheko9/js-ts-code-review-decisions: direct link, hf CLI and curl.
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- Download file 618 Bytes
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https://huggingface.co/datasets/Cheko9/js-ts-code-review-decisions/resolve/main/eval.yaml
- Command line
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hf download hf://datasets/Cheko9/js-ts-code-review-decisions/eval.yaml
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curl -L -o eval.yaml https://huggingface.co/datasets/Cheko9/js-ts-code-review-decisions/resolve/main/eval.yaml
618 Bytes
| name: JS/TS Code Review Decisions | |
| description: 'Typed code review decisions: a JavaScript or TypeScript snippet as state and 13 typed questions | |
| (10 flaw nouls, a has_flaw noul, a primary_flaw choice, a quality score) answered with probability distributions. | |
| Scored with score_decisions.py.' | |
| tasks: | |
| - id: macro_f1_at_0_5 | |
| config: decisions | |
| split: test | |
| - id: accuracy | |
| config: decisions | |
| split: test | |
| - id: log_loss | |
| config: decisions | |
| split: test | |
| lower_is_better: true | |
| - id: brier | |
| config: decisions | |
| split: test | |
| lower_is_better: true | |
| - id: ece | |
| config: decisions | |
| split: test | |
| lower_is_better: true | |