Add comprehensive dataset documentation

csv_dataset_card.md

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+---
+language:
+- multilingual
+- as
+- br
+- cy
+- et
+- eu
+- gl
+- hu
+- hy
+- ka
+- kk
+- lt
+- lv
+- mk
+- mt
+- oc
+- sk
+- sl
+- sw
+- ta
+- tk
+- tt
+license: mit
+task_categories:
+- automatic-speech-recognition
+---
+
+# Whisper 3 Large Evaluation on Mozilla Common Voice 17 Rare Languages (Enhanced Metrics)
+
+## Dataset Description
+
+This enhanced dataset contains comprehensive evaluation results of OpenAI's Whisper 3 Large model on rare languages from Mozilla Common Voice 17, with extensive additional metrics for thorough ASR evaluation.
+
+### Key Features
+
+**Enhanced Error Metrics:**
+- **WER** (Word Error Rate): Standard word-level error measurement
+- **CER** (Character Error Rate): Character-level error measurement
+- **MER** (Match Error Rate): Alternative error rate calculation
+- **WIL** (Word Information Lost): Information loss measurement
+
+**Edit Distance Analysis:**
+- Word-level and character-level edit distances
+- Normalized edit distance metrics
+- Comprehensive distance analysis
+
+**Length and Structure Metrics:**
+- Word, character, and sentence counts
+- Length ratios and differences
+- Average word length analysis
+- Sentence structure preservation
+
+**Script-Specific Analysis:**
+- Latin, Cyrillic, Armenian, Georgian, Tamil, Bengali character ratios
+- Punctuation preservation analysis
+- Script-specific performance metrics
+
+**Statistical Metrics:**
+- Jaccard similarity for vocabulary overlap
+- Frequency correlation analysis
+- Vocabulary union and overlap metrics
+- Unique word analysis
+
+### Dataset Statistics
+
+- **Total samples**: 111,507
+- **Languages**: 21 rare languages
+- **Total metrics**: 56 comprehensive evaluation metrics
+- **Scripts covered**: Latin, Cyrillic, Armenian, Georgian, Tamil, Bengali
+
+### Language Coverage
+
+| Language | Code | Script | Sample Count |
+|----------|------|--------|--------------|
+| Assamese | as | Bengali | ~551 |
+| Breton | br | Latin | ~2,212 |
+| Welsh | cy | Latin | ~5,379 |
+| Estonian | et | Latin | ~2,653 |
+| Basque | eu | Latin | ~13,630 |
+| Galician | gl | Latin | ~9,990 |
+| Hungarian | hu | Latin | ~11,435 |
+| Armenian | hy | Armenian | ~4,281 |
+| Georgian | ka | Georgian | ~12,618 |
+| Kazakh | kk | Cyrillic | ~514 |
+| Lithuanian | lt | Latin | ~4,753 |
+| Latvian | lv | Latin | ~6,752 |
+| Macedonian | mk | Cyrillic | ~1,097 |
+| Maltese | mt | Latin | ~1,662 |
+| Occitan | oc | Latin | ~254 |
+| Slovak | sk | Latin | ~5,000 |
+| Slovenian | sl | Latin | ~1,242 |
+| Swahili | sw | Latin | ~12,253 |
+| Tamil | ta | Tamil | ~12,074 |
+| Turkmen | tk | Latin | ~546 |
+| Tatar | tt | Cyrillic | ~4,964 |
+
+### Performance Highlights
+
+**Top Performing Languages (by WER):**
+1. Hungarian (hu): WER = 0.1822
+2. Galician (gl): WER = 0.2027
+3. Slovenian (sl): WER = 0.2205
+4. Macedonian (mk): WER = 0.2762
+5. Latvian (lv): WER = 0.3021
+
+### Usage
+
+```python
+from datasets import load_dataset
+
+# Load the enhanced dataset
+dataset = load_dataset("norbertm/whisper-eval-rare-languages-csv")
+
+# Access comprehensive metrics
+print(dataset['train'][0])
+```
+
+### Research Applications
+
+This enhanced dataset enables:
+
+1. **Comprehensive ASR Evaluation**: Multiple error metrics for thorough analysis
+2. **Script-Specific Analysis**: Understanding performance across different writing systems
+3. **Statistical Analysis**: Vocabulary and frequency correlation studies
+4. **Length Analysis**: Understanding how text length affects recognition
+5. **Cross-Language Comparison**: Detailed performance comparison across 21 languages
+
+### Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{whisper_eval_enhanced_2024,
+  title={Whisper 3 Large Evaluation on Mozilla Common Voice 17 Rare Languages (Enhanced Metrics)},
+  author={norbertm},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/norbertm/whisper-eval-rare-languages-csv}
+}
+```
+
+### License
+
+This dataset is licensed under the MIT License.
+
+---
+
+*This enhanced version includes 46 additional metrics beyond the original WER and CER, providing unprecedented depth for ASR evaluation research.*