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@@ -25,7 +25,7 @@ This is a cleaned subset of Nyx's Asstr dataset sourced from https://asstr.info/
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  5. Fuzzy Deduplication (5.py):
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  - The script `5.py` performs fuzzy deduplication using the rapidfuzz lib
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  - It checks for similar "content" values within a certain threshold (e.g., 85% similarity) and removes duplicates.
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- 6.*Content Rating (6.py):
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  - The script 6.py sends each "content" for evaluation based on its writing quality using Supernova-Medius from 1-5 (Though Medius ended up rating a few stories as 6???)
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  - Ratings were cut short due the evals taking too long (5~ Days), I ended up with a 35K subset of which 16K stories were extracted from. Although I plan to perform a larger subset in the future.
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  7. Filtering Based on Rating (Extract.py):
 
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  5. Fuzzy Deduplication (5.py):
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  - The script `5.py` performs fuzzy deduplication using the rapidfuzz lib
27
  - It checks for similar "content" values within a certain threshold (e.g., 85% similarity) and removes duplicates.
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+ 6. Content Rating (6.py):
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  - The script 6.py sends each "content" for evaluation based on its writing quality using Supernova-Medius from 1-5 (Though Medius ended up rating a few stories as 6???)
30
  - Ratings were cut short due the evals taking too long (5~ Days), I ended up with a 35K subset of which 16K stories were extracted from. Although I plan to perform a larger subset in the future.
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  7. Filtering Based on Rating (Extract.py):