Update dataset card with detailed statistics
Browse files
README.md
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@@ -52,8 +52,7 @@ A refined dataset of English word etymologies derived from Wiktionary entries vi
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### 1. Data Pipeline & Volume
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- **Original Source**: 1,465,676 English entries (total lines in the Kaikki English JSONL).
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- **
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- **Filtered & Processed**: 83,204 datapoints used for training and evaluation.
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### 2. Source Language Distribution (Top 10)
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Based on the relevant datapoints ($N = 102,111$):
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| **Latin** (consolidated) | 23,728 | 23.24% |
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| **English** (consolidated) | 20,974 | 20.54% |
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| **French** (consolidated) | 16,694 | 16.35% |
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| **Greek** | 10,074 | 9.87% |
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| **German** | 7,300 | 7.15% |
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| **Chinese** | 5,017 | 4.91% |
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| **Italian** | 4,729 | 4.63% |
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| **Proto-Germanic** | 4,692 | 4.59% |
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| **Spanish** | 4,628 | 4.53% |
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| **Proto-Indo-European** | 4,097 | 4.01% |
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| ... | ... | ... |
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| **Other** (all languages < 1%) | 30,339 | 29.71% |
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### 3. Entry Mechanism Distribution
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Based on the
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| Mechanism | Frequency | Percentage |
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| :--- | :--- | :--- |
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1. **Linguistic Consolidation**: Common historical and regional variants are mapped to their primary language families to reduce sparsity. The consolidated language families include: **Latin, English, French, German, Greek, Chinese, Dutch, Scots, and Proto-Germanic**.
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2. **Exclusions**: Non-etymological labels (e.g., "Translingual") or structurally empty templates are removed.
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*(Note: The subsequent steps of **label thresholding** (grouping languages <1% frequency into "Other") and **class imbalance mitigation** (randomly undersampling majority classes) are performed dynamically by the `train.py` script prior to model training, resulting in the final 83,204 training/evaluation samples. The raw dataset provided here retains all minority languages and natural frequencies.)*
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## Source
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The source is English Wiktionary data extracted by Wiktextract and published by [Kaikki](https://kaikki.org/).
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### 1. Data Pipeline & Volume
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- **Original Source**: 1,465,676 English entries (total lines in the Kaikki English JSONL).
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- **Extracted Datapoints**: 102,111 entries (words containing etymological templates parsed by `wiktextract`).
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### 2. Source Language Distribution (Top 10)
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Based on the relevant datapoints ($N = 102,111$):
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| **Latin** (consolidated) | 23,728 | 23.24% |
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| **English** (consolidated) | 20,974 | 20.54% |
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| **French** (consolidated) | 16,694 | 16.35% |
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| **Greek** (consolidated) | 10,074 | 9.87% |
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| **German** (consolidated) | 7,300 | 7.15% |
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| **Chinese** (consolidated) | 5,017 | 4.91% |
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| **Italian** | 4,729 | 4.63% |
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| **Proto-Germanic** (consolidated) | 4,692 | 4.59% |
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| **Spanish** | 4,628 | 4.53% |
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| **Proto-Indo-European** | 4,097 | 4.01% |
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| ... | ... | ... |
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| **Other** (all languages < 1%) | 30,339 | 29.71% |
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### 3. Entry Mechanism Distribution
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Based on the extracted datapoints ($N = 102,111$). The dataset categorizes origins into four primary mechanisms:
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- **borrowed**: Words taken directly from another language (e.g., *sushi* from Japanese).
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- **derived**: Words formed by morphological derivation from another language's roots.
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- **inherited**: Words passed down continuously from an ancestor language (e.g., from Old English to Modern English).
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- **calqued**: Word-for-word translations of phrases or compound words from another language (e.g., *skyscraper* translated into French as *gratte-ciel*).
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| Mechanism | Frequency | Percentage |
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| :--- | :--- | :--- |
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1. **Linguistic Consolidation**: Common historical and regional variants are mapped to their primary language families to reduce sparsity. The consolidated language families include: **Latin, English, French, German, Greek, Chinese, Dutch, Scots, and Proto-Germanic**.
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2. **Exclusions**: Non-etymological labels (e.g., "Translingual") or structurally empty templates are removed.
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## Source
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The source is English Wiktionary data extracted by Wiktextract and published by [Kaikki](https://kaikki.org/).
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