| --- |
| dataset_info: |
| - config_name: index |
| data_files: index.parquet |
| default: true |
| - config_name: embeddings_eng |
| data_files: embeddings_eng.parquet |
| - config_name: embeddings_fra |
| data_files: embeddings_fra.parquet |
| - config_name: embeddings_ita |
| data_files: embeddings_ita.parquet |
| - config_name: embeddings_pol |
| data_files: embeddings_pol.parquet |
| - config_name: embeddings_spa |
| data_files: embeddings_spa.parquet |
| - config_name: intervention_by_chapter |
| data_files: intervention_by_chapter.parquet |
| - config_name: intervention_summary |
| data_files: intervention_summary.parquet |
| configs: |
| - config_name: index |
| data_files: index.parquet |
| default: true |
| - config_name: embeddings_eng |
| data_files: embeddings_eng.parquet |
| - config_name: embeddings_fra |
| data_files: embeddings_fra.parquet |
| - config_name: embeddings_ita |
| data_files: embeddings_ita.parquet |
| - config_name: embeddings_pol |
| data_files: embeddings_pol.parquet |
| - config_name: embeddings_spa |
| data_files: embeddings_spa.parquet |
| - config_name: intervention_by_chapter |
| data_files: intervention_by_chapter.parquet |
| - config_name: intervention_summary |
| data_files: intervention_summary.parquet |
| license: cc-by-4.0 |
| task_categories: |
| - text-classification |
| - feature-extraction |
| language: |
| - en |
| - fr |
| - it |
| - pl |
| - es |
| - grc |
| tags: |
| - bible |
| - translation-studies |
| - embeddings |
| - interlinear |
| pretty_name: "SIGHUM Interlinear Vector Baselines" |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # SIGHUM Interlinear Vector Baselines |
|
|
| Companion dataset for the paper *Degree Zero of Translation: Using Interlinear Baselines to Quantify Translator Intervention* (SIGHUM 2026). |
|
|
| ## Contents |
|
|
| | Config | Description | |
| |---|---| |
| | **index** (default) | Translation metadata: 79 translations across 5 languages with strategy labels | |
| | embeddings_{lang} | Chapter-level Qwen3-Embedding-8B vectors (4096-dim) per translation × chapter | |
| | intervention_by_chapter | L2 distance to interlinear baseline per translation × chapter | |
| | intervention_summary | Per-translation summary statistics (mean, std, median distance) | |
|
|
| ## Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Browse translations |
| index = load_dataset("mrapacz/sighum-interlinear-vector-baselines", "index", split="train") |
| print(index.to_pandas()) |
| |
| # Load English chapter-level embeddings |
| eng = load_dataset("mrapacz/sighum-interlinear-vector-baselines", "embeddings_eng", split="train") |
| |
| # Load intervention distances |
| intervention = load_dataset("mrapacz/sighum-interlinear-vector-baselines", "intervention_by_chapter", split="train") |
| ``` |
|
|
| ## Languages |
|
|
| English (17), French (15), Italian (13), Polish (17), Spanish (17) — 74 prose translations + 5 interlinear baselines. |
|
|
| ## Model |
|
|
| All embeddings computed with [Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B). |
|
|
| ## Links |
|
|
| - **Code & Poster**: [github.com/mrapacz/sighum-interlinear-vector-baselines](https://github.com/mrapacz/sighum-interlinear-vector-baselines) |
| - **Targum Corpus**: [huggingface.co/datasets/mrapacz/targum-corpus](https://huggingface.co/datasets/mrapacz/targum-corpus) |
|
|
