| configs: | |
| - config_name: en-tl | |
| data_files: | |
| - split: train | |
| path: paracore_en-tl/*.parquet | |
| - config_name: en-zh | |
| data_files: | |
| - split: train | |
| path: paracore_en-zh/*.parquet | |
| - config_name: en-th | |
| data_files: | |
| - split: train | |
| path: paracore_en-th/*.parquet | |
| - config_name: en-ru | |
| data_files: | |
| - split: train | |
| path: paracore_en-ru/*.parquet | |
| - config_name: en-ja | |
| data_files: | |
| - split: train | |
| path: paracore_en-ja/*.parquet | |
| - config_name: en-fr | |
| data_files: | |
| - split: train | |
| path: paracore_en-fr/*.parquet | |
| - config_name: en-de | |
| data_files: | |
| - split: train | |
| path: paracore_en-de/*.parquet | |
| - config_name: en-ar | |
| data_files: | |
| - split: train | |
| path: paracore_en-ar/*.parquet | |
| # ParaRater: Enhancing Cross-Lingual Transfer in LLMs with Meta-Learning | |
| **ParaRater** is a data selection method that enhances cross-lingual transfer by **selecting the most valuable parallel pairs**, forming high-impact parallel corpora with two meta-learned raters. | |
| # ParaCore | |
| This is the parallel data filtered by ParaRater. English data is sampled from Common Crawl. The translation is conducted using `Qwen3-8B`. Each language contains about 1 B tokens. |