Dataset · Hugging Face

IO-AIR/filterme-sft

Name: filterme-sft
Creator: IO-AIR
License: cc-by-4.0
Keywords: task_categories:question-answering, task_categories:text-generation, source_datasets:sft-forge, language:en, license:cc-by-4.0, size_categories:100K<n<1M, region:us, sft, instruction-tuning, agentic, tool-calling, reverse-engineering, cad, cadquery, svg

filterme-sft · v1.7 Current release: v1.7 — the repo root always holds the latest release: finals (train.jsonl.gz, manifest.jsonl.gz), per-source provenance pools (shards/), build state and the QA report. One clean base — no historical build trees. rows real gpt2 tokens sources pareto pruned QA 165,545 2,004,534,369 30 13,622 all gates green One pareto-pruned, token-rebalanced SFT mixture built by sft-forge: ingest → tag → gate → ONE global dedup → strict… See the full description on the dataset page: https://huggingface.co/datasets/IO-AIR/filterme-sft.

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Author / organization	IO-AIR
License (as declared)	cc-by-4.0
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	22 October 2026
Last updated at source	22 October 2026

sftinstruction-tuningagentictool-callingreverse-engineeringcadcadquerysvglong-contextcodemathsciencesyntheticpareto-pruned

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22 Oct 2026 License: none → cc-by-4.0
22 Oct 2026 Description: none → filterme-sft · v1.7 Current release: v1.7 — the repo root always holds the latest release: finals (train.jsonl.gz, manifest.jsonl.gz), per-source provenance pools (shards/), build state and the QA report. One clean base — no historical buil
22 Oct 2026 Topics added task_categories:question-answering, task_categories:text-generation, sft, instruction-tuning, agentic, tool-calling, reverse-engineering, cad, cadquery, svg, long-context, code, math, science, synthetic, pareto-pruned

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