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Browse files- README.md +38 -0
- examples.json +99 -0
- tokenizer.json +0 -0
README.md
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---
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language: te
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tags:
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- telugu
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- tokenizer
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- bpe
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license: mit
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---
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# Telugu BPE Tokenizer
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A Byte-Pair Encoding (BPE) tokenizer trained on Telugu text data from Wikipedia.
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## Model Description
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This tokenizer was trained on Telugu text data collected from Wikipedia articles. It uses Byte-Pair Encoding (BPE) to create subword tokens.
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## Stats
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- Vocabulary Size: 5000 tokens
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- Compression Ratio: 1.26
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## Usage
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```python
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from tokenizers import Tokenizer
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# Load the tokenizer
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tokenizer = Tokenizer.from_file("tokenizer.json")
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# Tokenize text
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text = "నమస్కారం"
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encoding = tokenizer.encode(text)
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print(encoding.tokens)
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```
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## Training Data
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The tokenizer was trained on Telugu text data collected from Wikipedia articles. The data includes a diverse range of topics and writing styles.
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examples.json
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[
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{
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"text": "నమస్కారం",
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"tokens": [
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"Ġనమ",
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"à°¸",
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"à±į",
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"à°ķ",
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"à°¾",
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"à°°",
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"à°Ĥ"
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],
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"ids": [
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438,
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196,
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177,
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185,
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179,
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180,
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181
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]
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},
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{
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"text": "తెలుగు భాష చాలా అందమైనది",
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"tokens": [
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"Ġà°¤",
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"à±Ĩ",
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"à°²",
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"à±ģ",
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"à°Ĺ",
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"à±ģ",
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"Ġà°Ń",
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"à°¾",
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"à°·",
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"Ġà°ļ",
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"à°¾",
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"à°²",
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"à°¾",
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"Ġà°ħ",
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"à°Ĥ",
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"దమ",
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"à±Ī",
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"నద",
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"à°¿"
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],
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"ids": [
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230,
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204,
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183,
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182,
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199,
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182,
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254,
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179,
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223,
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225,
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179,
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183,
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179,
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211,
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181,
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946,
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213,
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447,
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]
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},
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{
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"text": "భారతదేశం నా దేశం",
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"tokens": [
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"Ġà°Ń",
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"à°¾",
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"రతద",
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"à±ĩ",
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"à°¶",
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"à°Ĥ",
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"Ġà°¨",
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"à°¾",
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"Ġà°¦",
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"à±ĩ",
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"à°¶",
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"à°Ĥ"
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],
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"ids": [
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254,
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179,
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524,
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195,
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217,
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181,
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]
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}
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]
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tokenizer.json
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