# 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- **HistMTQE** – a human-annotated subset of historical documents (English–Chinese and Russian–Chinese), reflecting real-world noisy and degraded text image conditions.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.

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## 📁 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`) |

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### 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.

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### 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Contains historical document test sets with human-annotated quality scores: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 |

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## 🔄 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.