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πŸ“š Add ChessInstruct-format dataset card with guaranteed Unsloth compatibility

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  1. README.md +7 -20
README.md CHANGED
@@ -4,7 +4,7 @@ language:
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  - bg
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  license: cc-by-4.0
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  size_categories:
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- - 10K<n<100K
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  task_categories:
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  - translation
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  - text-generation
@@ -32,34 +32,21 @@ dataset_info:
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  dtype: string
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  - name: KIND
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  dtype: string
 
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  splits:
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  - name: train
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- num_bytes: 173762475
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  num_examples: 736407
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  - name: validation
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- num_bytes: 21687148
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  num_examples: 92050
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  - name: test
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- num_bytes: 21768432
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  num_examples: 92052
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- download_size: 93757277
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- dataset_size: 217218055
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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  ---
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  # Gemma EN-BG Translation Dataset (ChessInstruct Format)
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  ## 🎯 Overview
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- This dataset contains **45,313** English to Bulgarian subtitle translation pairs in **ChessInstruct format** for fine-tuning **Gemma3-270m** using the **Unsloth framework**. The data is sourced from the OpenSubtitles parallel corpus and formatted exactly like the proven ChessInstruct dataset structure.
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  ## ✨ Key Features
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@@ -74,10 +61,10 @@ This dataset contains **45,313** English to Bulgarian subtitle translation pairs
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  | Split | Examples | Size |
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  |-------|----------|------|
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- | Train | 36,250 | ~12.8MB |
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- | Validation | 4,531 | ~1.6MB |
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- | Test | 4,532 | ~1.6MB |
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- | **Total** | **45,313** | **~16MB** |
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  ## πŸ”§ Data Format
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  - bg
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  license: cc-by-4.0
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  size_categories:
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+ - 100K<n<1M
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  task_categories:
9
  - translation
10
  - text-generation
 
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  dtype: string
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  - name: KIND
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  dtype: string
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+ config_name: default
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  splits:
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  - name: train
 
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  num_examples: 736407
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  - name: validation
 
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  num_examples: 92050
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  - name: test
 
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  num_examples: 92052
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Gemma EN-BG Translation Dataset (ChessInstruct Format)
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  ## 🎯 Overview
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+ This dataset contains **920,509** English to Bulgarian subtitle translation pairs in **ChessInstruct format** for fine-tuning **Gemma3-270m** using the **Unsloth framework**. The data is sourced from the OpenSubtitles parallel corpus and formatted exactly like the proven ChessInstruct dataset structure.
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  ## ✨ Key Features
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  | Split | Examples | Size |
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  |-------|----------|------|
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+ | Train | 736,407 | ~174MB |
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+ | Validation | 92,050 | ~22MB |
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+ | Test | 92,052 | ~22MB |
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+ | **Total** | **920,509** | **~218MB** |
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  ## πŸ”§ Data Format
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