| # TIMTQE Benchmark Dataset | |
| This repository provides the **TIMTQE benchmark dataset**, designed for **translation quality estimation (QE) of text images**. | |
| TIMTQE consists of two complementary components: | |
| - **MLQE-PE** – a large-scale synthetic dataset derived from MLQE-PE, where source sentences are rendered into text images and paired with translation quality annotations. | |
| - **HistMTQE** – a human-annotated subset of historical documents (English–Chinese and Russian–Chinese), reflecting real-world noisy and degraded text image conditions. | |
| Together, these resources enable benchmarking multimodal, multilingual QE models under both **synthetic** and **historical** settings. | |
| --- | |
| ## 📁 Data Organization | |
| The dataset is structured into three main directories: | |
| ### 1. MLQE-PE_jsonl | |
| Contains JSONL files organized by prompt type: | |
| - `normal/` – default prompt format (used in main experiments) | |
| - `cot/` – chain-of-thought style prompts | |
| - `multi-task/` – multi-task prompt format | |
| Each subdirectory includes: | |
| - `train.json` | |
| - `dev.json` | |
| - test files (e.g., `test_en-de.json`) | |
| **Fields in each JSONL entry:** | |
| | Field | Description | | |
| |------------|-------------| | |
| | `image` | Relative path to the text image file | | |
| | `text` | Prompt-response conversation (depends on prompt template) | | |
| | `task_type`| Task identifier (e.g., `llava_sft`) | | |
| --- | |
| ### 2. MLQE-PE_image | |
| Contains text image files under different augmentation settings: | |
| - `pngs/` – default (normal) images | |
| - `pngs_bleed_through/` – images with bleed-through noise | |
| - `pngs_skew/` – images with skew distortion | |
| - ... (9 variants in total, as detailed in the paper) | |
| Each subdirectory represents one type of augmentation applied to MLQE-PE. | |
| --- | |
| ### 3. HistMTQE | |
| Contains historical document test sets with human-annotated quality scores: | |
| - `HistMTQE_en-zh_test.tsv` – English → Chinese test set | |
| - `HistMTQE_ru-zh_test.tsv` – Russian → Chinese test set | |
| **TSV fields:** | |
| | Field | Description | | |
| |--------------|-------------| | |
| | `index` | Sample index | | |
| | `original` | Source sentence | | |
| | `translation`| Machine translation output | | |
| | `scores` | Raw annotation scores from multiple annotators | | |
| | `mean` | Average score | | |
| | `z_scores` | Standardized scores | | |
| | `z_mean` | Average standardized score | | |
| --- | |
| ## 🔄 Switching Data Variants | |
| - **Change prompt template** | |
| Select JSONL files from: | |
| - `MLQE-PE_jsonl/normal/` | |
| - `MLQE-PE_jsonl/cot/` | |
| - `MLQE-PE_jsonl/multi-task/` | |
| - **Change image augmentation** | |
| Update the `image` path in JSONL files to point to the desired subdirectory. | |