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# MSMARCO | ||
1. [Document ranking](DOCS.md) | ||
2. [Passage ranking](PASSAGES.md) | ||
3. A [detailed notebook](MSMARCO_docs_2020-10-12_complete.ipynb) to | ||
reproduce our best traditional runs submitted | ||
3. Step-by-step notebooks to reproduce our run submitted | ||
[to the MS MARCO leaderboard in December 2020](https://microsoft.github.io/msmarco/#docranking). | ||
* [One notebook](MSMARCO_docs_2020-12-06_complete.ipynb) reproduces all steps necessary to download the data, preprocess it, and train all the models. | ||
* [The second notebook](MSMARCO_docs_2020-12-06_processed_data_and_precomp_model1.ipynb) operates on preprocessed data in FlexNeuART JSONL format. It does not require running GIZA to generate IBM Model 1 (these models are already trained). |