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add MLQE-PE_jsonl & HistMTQE

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  1. MLQE-PE_jsonl/cot/.gitattributes +1 -0
  2. MLQE-PE_jsonl/cot/dev.jsonl +3 -0
  3. MLQE-PE_jsonl/cot/test_en-de.jsonl +3 -0
  4. MLQE-PE_jsonl/cot/test_en-zh.jsonl +3 -0
  5. MLQE-PE_jsonl/cot/test_et-en.jsonl +3 -0
  6. MLQE-PE_jsonl/cot/test_ne-en.jsonl +3 -0
  7. MLQE-PE_jsonl/cot/test_ro-en.jsonl +3 -0
  8. MLQE-PE_jsonl/cot/test_ru-en.jsonl +3 -0
  9. MLQE-PE_jsonl/cot/test_si-en.jsonl +3 -0
  10. MLQE-PE_jsonl/cot/train.jsonl +3 -0
  11. MLQE-PE_jsonl/multi-task/.gitattributes +1 -0
  12. MLQE-PE_jsonl/multi-task/dev.jsonl +3 -0
  13. MLQE-PE_jsonl/multi-task/test_en-de.jsonl +3 -0
  14. MLQE-PE_jsonl/multi-task/test_en-zh.jsonl +3 -0
  15. MLQE-PE_jsonl/multi-task/test_et-en.jsonl +3 -0
  16. MLQE-PE_jsonl/multi-task/test_ne-en.jsonl +3 -0
  17. MLQE-PE_jsonl/multi-task/test_ro-en.jsonl +3 -0
  18. MLQE-PE_jsonl/multi-task/test_ru-en.jsonl +3 -0
  19. MLQE-PE_jsonl/multi-task/test_si-en.jsonl +3 -0
  20. MLQE-PE_jsonl/multi-task/train.jsonl +3 -0
  21. MLQE-PE_jsonl/normal/.gitattributes +1 -0
  22. MLQE-PE_jsonl/normal/dev.jsonl +3 -0
  23. MLQE-PE_jsonl/normal/test_en-de.jsonl +3 -0
  24. MLQE-PE_jsonl/normal/test_en-zh.jsonl +3 -0
  25. MLQE-PE_jsonl/normal/test_et-en.jsonl +3 -0
  26. MLQE-PE_jsonl/normal/test_ne-en.jsonl +3 -0
  27. MLQE-PE_jsonl/normal/test_ro-en.jsonl +3 -0
  28. MLQE-PE_jsonl/normal/test_ru-en.jsonl +3 -0
  29. MLQE-PE_jsonl/normal/test_si-en.jsonl +3 -0
  30. MLQE-PE_jsonl/normal/train.jsonl +3 -0
  31. README.md +83 -1
  32. readme.md +0 -1
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  ---
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- license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # TIMTQE Benchmark Dataset
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+
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+ This repository provides the **TIMTQE benchmark dataset**, designed for **translation quality estimation (QE) of text images**.
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+ TIMTQE consists of two complementary components:
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+
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+ - **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.
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+ - **HistMTQE** – a human-annotated subset of historical documents (English–Chinese and Russian–Chinese), reflecting real-world noisy and degraded text image conditions.
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+
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+ Together, these resources enable benchmarking multimodal, multilingual QE models under both **synthetic** and **historical** settings.
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+
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  ---
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+
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+ ## 📁 Data Organization
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+
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+ The dataset is structured into three main directories:
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+
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+ ### 1. MLQE-PE_jsonl
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+
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+ Contains JSONL files organized by prompt type:
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+
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+ - `normal/` – default prompt format (used in main experiments)
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+ - `cot/` – chain-of-thought style prompts
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+ - `multi-task/` – multi-task prompt format
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+
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+ Each subdirectory includes:
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+
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+ - `train.json`
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+ - `dev.json`
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+ - test files (e.g., `test_en-de.json`)
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+
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+ **Fields in each JSONL entry:**
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+
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+ | Field | Description |
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+ |------------|-------------|
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+ | `image` | Relative path to the text image file |
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+ | `text` | Prompt-response conversation (depends on prompt template) |
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+ | `task_type`| Task identifier (e.g., `llava_sft`) |
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+
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  ---
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+
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+ ### 2. MLQE-PE_image
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+
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+ Contains text image files under different augmentation settings:
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+
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+ - `pngs/` – default (normal) images
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+ - `pngs_bleed_through/` – images with bleed-through noise
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+ - `pngs_skew/` – images with skew distortion
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+ - ... (9 variants in total, as detailed in the paper)
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+
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+ Each subdirectory represents one type of augmentation applied to MLQE-PE.
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+
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+ ---
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+
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+ ### 3. HistMTQE
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+
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+ Contains historical document test sets with human-annotated quality scores:
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+
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+ - `HistMTQE_en-zh_test.tsv` – English → Chinese test set
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+ - `HistMTQE_ru-zh_test.tsv` – Russian → Chinese test set
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+
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+ **TSV fields:**
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+
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+ | Field | Description |
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+ |--------------|-------------|
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+ | `index` | Sample index |
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+ | `original` | Source sentence |
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+ | `translation`| Machine translation output |
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+ | `scores` | Raw annotation scores from multiple annotators |
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+ | `mean` | Average score |
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+ | `z_scores` | Standardized scores |
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+ | `z_mean` | Average standardized score |
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+
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+ ---
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+
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+ ## 🔄 Switching Data Variants
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+
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+ - **Change prompt template**
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+ Select JSONL files from:
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+ - `MLQE-PE_jsonl/normal/`
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+ - `MLQE-PE_jsonl/cot/`
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+ - `MLQE-PE_jsonl/multi-task/`
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+
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+ - **Change image augmentation**
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+ Update the `image` path in JSONL files to point to the desired subdirectory.
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+
readme.md DELETED
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- # TIMTQE: Text Image Machine Translation Quality Estimation