bogdan

Dataset Quality Report: Mozu Research Corpus (Synthetic Telehealth Transcripts)

Generated 2026-08-07 13:40 UTC from training/eval_history.json. Re-run python training/generate_report.py after evaluating new checkpoints to refresh this report.

Purpose

This report evaluates whether the synthetic mozu-research-corpus transcript dataset carries enough real signal to train a model to perform a clinically meaningful task, by measuring how much fine-tuning on it improves an open-source model's output on a held-out test set. The underlying question is about dataset quality, not model selection: if fine-tuning on this

bogdan

#!/usr/bin/env ruby

require_relative "../config/environment"

def rss_kb
  `ps -o rss= -p #{Process.pid}`.to_i
end

$measure_depth = 0

bogdan

Contribution to Ruby on Rails

Source: https://contributors.rubyonrails.org/contributors/bogdan-gusiev/commits (#76 all-time contributor, 143 commits, 2011–2026)

1. ActiveRecord querying & preloading — refactored the preloader for performance, fixed duplicate record handling, implemented pluck, and improved #last to leverage SQL-level ordering.
2. Association handling — fixed counter cache calculation bugs, foreign key replacement in inverse associations, and collection association creation methods.
3. ActiveSupport callbacks — extensively refactored the callback system, removing dead code, deprecating legacy options, and simplifying/optimizing logic.

Overall focus: code quality, performance, and bug fixes rather than new feature work.

bogdan

Rename token types and centralize space-aware token joining

Commit: https://github.com/hosmada/emr/commit/2c27eb5381d082e0a9745085d384b8fbe74e83e6

What changed:

• Renamed two Token#token_type values for clarity: word → japanese_word and foreign → latin_word.
• Added SuikaTokenizer.join(tokens), a shared helper that reconstructs text from tokens correctly instead of naively joining with a fixed separator. It only inserts a space between two consecutive "space-delimited" tokens (Latin words, abbreviations, and numbers) — Japanese tokens never get a space.
• Wired Meeting#utterances and ReviewWorkflow#phi_review_data to use this new helper instead of tokens.map(&:text).join(" ").
• Updated the token test factory to auto-classify token_type from text via the real tokenizer instead of hardcoding a default.

bogdan

#!/usr/bin/env ruby
# frozen_string_literal: true

# Speech-to-Text v2 diarization test (chirp_3 model, Japanese by default).
#
# KEY FINDING: chirp_3 + diarizationConfig only works in the "us" multi-region.
# It is rejected everywhere else tested (global, us-central1, europe-west4,
# asia-southeast1, europe-west3) with either "model does not exist" or
# "Permission denied ... It is no longer generally available." Only the
# "us" multi-region endpoint accepts it, and only via the async

bogdan

# syntax=docker/dockerfile:1
# check=error=true;skip=SecretsUsedInArgOrEnv

# This Dockerfile is designed for production, not development. Use with Kamal or build'n'run by hand:
# docker build -t realphotos_marketplace .
# docker run -d -p 80:80 -e RAILS_MASTER_KEY=<value from config/master.key> --name realphotos_marketplace realphotos_marketplace

# For a containerized dev environment, see Dev Containers: https://guides.rubyonrails.org/getting_started_with_devcontainer.html

# Make sure RUBY_VERSION matches the Ruby version in .ruby-version

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steps:
  # Pull cache images for both build stage and final image (ignore failure on first run)
  - id: "pull-cache"
    name: "gcr.io/cloud-builders/docker"
    entrypoint: /bin/bash
    args:
      - -c
      - |
        docker pull ${_IMAGE_NAME}:build-cache || true && \
        docker pull ${_IMAGE_NAME}:latest || true

bogdan

Meeting 596 PHI Token Analysis

Token(s)	Reading	Context	Assessment
鈴木	Suzuki	鈴木さん こんにちは	Patient surname — PHI
さん	-san	suffix after 鈴木	Honorific — not PHI
鈴木 一郎	Suzuki Ichiro	鈴木一郎と言います (my name is Suzuki Ichiro)	Patient full name — PHI
1989 年 の 10 月 15 日	October 15, 1989	生まれです (born on)	Patient DOB — PHI, but の, 年, 月, 日 are grammatical particles/units
島田	Shimada	島田先生	Doctor's surname — debatable (provider name)
先生	sensei/doctor	title after 島田	Title only — not PHI

bogdan

Third-Party Face Removal from Video

Variants for handling third-party faces that appear in recorded video segments.

---

1. Cut the Segment

Remove the time range entirely from the final export.

bogdan

require 'open3'
require 'json'

module InsightFace
  SCRIPT = Rails.root.join("bin/insightface").to_s
  CMD = if Rails.env.production?
    ["/app/.heroku/python/bin/python3", SCRIPT]
  else
    ["uv", "run", SCRIPT]