ciral-v1.0-yo-en.template

# Anserini Regressions: CIRAL (v1.0) — Yoruba (English Translation)

This page documents BM25 regression experiments for [CIRAL (v1.0) — Yoruba](https://github.com/ciralproject/ciral) with with document translations. To be clear, the queries are in English and the corpus is in English (translated with [NLLB 1.3B](https://huggingface.co/facebook/nllb-200-1.3B)).

The exact configurations for these regressions are stored in [this YAML file](${yaml}).
Note that this page is automatically generated from [this template](${template}) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead.

From one of our Waterloo servers (e.g., `orca`), the following command will perform the complete regression, end to end:

```
python src/main/python/run_regression.py --index --verify --search --regression ${test_name}
```

## Indexing

Typical indexing command:

```
${index_cmds}
```

See [this page](https://github.com/ciralproject/ciral) for more details about the CIRAL corpus.
For additional details, see explanation of [common indexing options](${root_path}/docs/common-indexing-options.md).

## Retrieval

After indexing has completed, you should be able to perform retrieval as follows:

```
${ranking_cmds}
```

Evaluation can be performed using `trec_eval`:

```
${eval_cmds}
```

## Effectiveness

With the above commands, you should be able to reproduce the following results:

${effectiveness}