| # ParaDocs | |
| Data availability limits the scope of any given task. | |
| In machine translation, historical models were incapable of handling longer contexts, so the lack of document-level datasets was less noticeable. | |
| Now, despite the emergence of long-sequence methods, we remain within a sentence-level paradigm and without data to adequately approach context-aware machine translation. | |
| Most large-scale datasets have been processed through a pipeline that discards document-level metadata. | |
| [ParaDocs](https://aclanthology.org/2024.findings-acl.589/) is a publicly available dataset that produces parallel annotations for the document-level metadata of three large publicly available corpora (ParaCrawl, Europal, and News Commentary) in many languages. | |
| Using this data and the following scripts, you can download parallel document contexts for the purpose of training context-aware machine translation systems. | |
| If you have questions about this data or use of the following scripts, please do not hesitate to contact the maintainer at [email protected]. | |
| # Quick Start | |
| The scripts to download and process the data can be found [here](https://github.com/rewicks/ParaDocs/): | |
| Clone these scripts: | |
| ``` | |
| git clone https://github.com/rewicks/ParaDocs.git | |
| ``` | |
| From this directory, you can stream a specific language and split from huggingface with: | |
| ``` | |
| paradocs/paradocs-hf --name en-de-strict --minimum_size 2 --frequency_cutoff 100 --lid_cutoff 0.5 | |
| ``` | |
| It may alternatively be faster to download the `*.gz` files of your desired split and then pipe them through the `paradocs/paradocs` file for filtering. | |
| ``` | |
| zcat data/en-de/strict* | paradocs/paradocs --minimum_size 2 --frequency_cutoff 100 --lid_cutoff 0.5 | |
| ``` | |
| The filtering commandline arguments are explained in more detial in Section 3.2. | |
| ## The Paper | |
| If you use this dataset in your research. Please cite our [paper](https://aclanthology.org/2024.findings-acl.589/). | |
| --- | |
| license: apache-2.0 | |
| --- | |