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# Anserini Regressions: TREC 2005 Robust Track

**Models**: various bag-of-words approaches

This page describes regressions for the TREC 2005 Robust Track, which uses the [AQUAINT collection](https://tac.nist.gov//data/data_desc.html#AQUAINT).
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}
```

The directory `/path/to/aquaint/` should be the root directory of the [AQUAINT collection](https://tac.nist.gov//data/data_desc.html#AQUAINT); under subdirectory `disk1/` there should be `NYT/` and under subdirectory `disk2/` there should be `APW/` and `XIE/`.

For additional details, see explanation of [common indexing options](${root_path}/docs/common-indexing-options.md).

## Retrieval

Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/tree/master/topics-and-qrels), which is linked to the Anserini repo as a submodule.
They are downloaded from NIST:

+ [`topics.robust05.txt`](https://github.com/castorini/anserini-tools/tree/master/topics-and-qrels/topics.robust05.txt): [topics for the TREC 2005 Robust Track (Hard Topics of Robust04)](http://trec.nist.gov/data/robust/05/05.50.topics.txt)
+ [`qrels.robust05.txt`](https://github.com/castorini/anserini-tools/tree/master/topics-and-qrels/qrels.robust05.txt): [qrels for the TREC 2005 Robust Track (Hard Topics of Robust04)](http://trec.nist.gov/data/robust/05/TREC2005.qrels.txt)

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}