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fdt-disfluency-synthetic
Synthetic disfluency-removal data: clean conversational text (DailyDialog +
Synthetic-Persona-Chat) with disfluencies injected programmatically, giving
exact word-level labels (KEEP / DELETE / KEEP_STRIP_COMMA /
KEEP_CAPITALIZE). Invariant: applying the tags reconstructs the clean text
exactly. Rows: {{"words": [...], "tags": [...], "clean": "..."}}.
v1/— fillers (um, uh, er, ah, like, you know, I mean, sort of, kind of, basically, literally), repetitions, false starts, stutters/cut-offs, lowercase-STT variants, adversarial keep-templates.v2/— v1 plus substitution repairs ("the bus, I mean, the train"), filler-homograph collisions ("Do you, like, like jazz?"), doubled fillers, denser disfluency stacks.eval/adversarial.jsonl— 65 handwritten cases incl. out-of-pool quarantine classes for measuring schema transfer.
License note: DailyDialog is CC BY-NC-SA, so this dataset inherits
non-commercial terms. Generator code lives in the FluencyAI repo
(ml/disfluency/disfl/injector.py).
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