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README.md
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@@ -499,10 +499,10 @@ Tenete-8M was trained on an **RTX 2060 6GB** for one epoch with a batch size of
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The dataset encompasses **577M tokens**, and includes **4 sources**:
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1. **Textbooks**: Web data is too noisy, so we decided to use Tiny-Textbooks, a synthetic dataset generated by
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2. **Medium Articles**: While web data, especially medium articles, is noisy, we still need human-written examples
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3. **Books**: Albeit small, books are still needed to instill creativity into the model
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4. **Q&A**: just sprinkled in, just to add more knowledge and question-answering.
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We chose to not include code, raw webdata (e.g., fineweb, c4, etc.), and more narrow domains (e.g., arxiv, clinical trials, lesswrong, etc.).
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| 500 |
The dataset encompasses **577M tokens**, and includes **4 sources**:
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| 501 |
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| 502 |
+
1. **Textbooks** (1.2GB): Web data is too noisy, so we decided to use Tiny-Textbooks, a synthetic dataset generated by
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| 503 |
+
2. **Medium Articles** (960MB): While web data, especially medium articles, is noisy, we still need human-written examples
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| 504 |
+
3. **Books** (284MB): Albeit small, books are still needed to instill creativity into the model
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| 505 |
+
4. **Q&A** (14MB): just sprinkled in, just to add more knowledge and question-answering.
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| 507 |
We chose to not include code, raw webdata (e.g., fineweb, c4, etc.), and more narrow domains (e.g., arxiv, clinical trials, lesswrong, etc.).
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| 508 |
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