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Datasets:
FLs-AI
/
FL-SecOps-SFT

Tasks:
Text Generation
Modalities:
Text
Formats:
json
Size:
100K - 1M
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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FL-SecOps-SFT / README.md
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metadata 
license: apache-2.0
task_categories:
  - text-generation

Used Source Datasets:

Data Cleaning & Quality Gate Applied:

This dataset has been rigorously filtered and normalized using a strict automated pipeline:

  • Deduplication: Exact and normalized duplicates across all sources were removed using disk-backed database hashing.
  • Text Repair: Fixed broken text encoding (mojibake) and unified Unicode normalization forms (NFC) via ftfy.
  • Heuristic Quality Filtering: Removed low-quality records including trivial/too short user prompts, abnormally short or cut-off assistant responses, and text loops (excessive character/word repetition).
  • Privacy Gate: Screened and removed records containing high-confidence secrets (API keys, credentials).