Evaluates an end-to-end pipeline that first retrieves cross-file snippets and then predicts the next line of code using both the in-file context and retrieved snippets. Use when the user wants to benchmark on RepoBench-P, or asks about evaluating this task. Reports Exact Match (EM).
Installs into .claude/skills of the current project.
Are you the author of Repobench P Eval?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/qhjqhj00-repobench-p-eval)
---
name: repobench-p-eval
description: Evaluates an end-to-end pipeline that first retrieves cross-file snippets and then predicts the next line of code using both the in-file context and retrieved snippets. Use when the user wants to benchmark on RepoBench-P, or asks about evaluating this task. Reports Exact Match (EM).
metadata:
skill_kind: dataset_eval
source_arxiv: 2306.03091
bibtex_key: [REDACTED]
confidence: high
---
# repobench-p-eval
> RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems — Liu et al. (2023) (arXiv:2306.03091, 2023)
## What this evaluates
Evaluates an end-to-end pipeline that first retrieves cross-file snippets and then predicts the next line of code using both the in-file context and retrieved snippets.
## Datasets
- **RepoBench-P** — total ?; splits: test (-1)
## Metrics
- `Exact Match (EM)` **(primary)** — range: [0, 1]
- 1 if the predicted line exactly matches the gold line, 0 otherwise.
- `Edit Similarity (ES)` — range: [0, 1]
- Token-level edit similarity between predicted and gold lines.
## Input / output format
**Input**: In-file context (up to 1600 tokens, max 60 lines) and retrieved cross-file snippets (up to 6400 total tokens).
**Output**: Predicted next line of code.
## Scoring recipe
```python
def score(pred, gold):
em = 1.0 if pred.strip() == gold.strip() else 0.0
es = edit_similarity(pred, gold)
return em, es
```
## Common pitfalls
- Retrieval strategies (Gold-Only, Gold-Filled, UniXcoder, Random, Baseline) drastically affect results.
- Gold snippets are included for reference only and do not represent oracle capabilities.
## Evidence (verbatim from paper)
> Table 4: Comparison of various retrieval strategies on the RepoBench-P ... evaluated in terms of Exact Match (EM) and Edit Similarity (ES) metrics
## Citation
```bibtex
@misc{liu2023repobench,
title={RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems},
author={Liu et al. (2023)},
year={2023},
note={arXiv:2306.03091}
}
```
- arXiv: 2306.03091