Refresh STT-Science card for 20h expansion

README.md

@@ -1,88 +1,57 @@
 ---
-pretty_name: Kokoro Science and Microbiology STT Synthetic Dataset
-language:
-- en
 task_categories:
 - automatic-speech-recognition
-- text-to-speech
+language:
+- en
 tags:
 - microbiology
 - science
 - synthetic
 - kokoro
 - speech
-- text
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: tts_text
-    dtype: string
-  - name: category
-    dtype: string
-  - name: subcategory
-    dtype: string
-  - name: key_terms
-    dtype: string
-  - name: difficulty
-    dtype: string
-  - name: source
-    dtype: string
-  - name: split_hint
-    dtype: string
-  - name: voice
-    dtype: string
-  - name: speed
-    dtype: float32
-  - name: duration_seconds
-    dtype: float32
-  - name: sample_rate
-    dtype: int32
-  - name: sha256
-    dtype: string
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-        decode: false
-  - name: corpus_version
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1190580192.0
-    num_examples: 8995
-  download_size: 1188127942
-  dataset_size: 1190580192.0
 ---
 
 # Kokoro Science and Microbiology STT Synthetic Dataset
 
 Synthetic English scientific speech generated with `hexgrad/Kokoro-82M`.
 
-## Contents
-
-- Approximately **10.001 hours** of measured 16 kHz mono speech.
-- **4,938 utterances**.
-- Self-contained Parquet shards with embedded FLAC bytes in the `audio` column.
-- `text`: desired ASR transcript.
-- `tts_text`: pronunciation-friendly text actually supplied to Kokoro.
-- Domain metadata, Kokoro voice, synthesis speed, duration, and SHA-256.
-
-## Intended use
-
-Domain adaptation and evaluation experiments for automatic speech recognition, with emphasis on microbiology, laboratory science, molecular biology, chemistry, scientific measurements, and specialist terminology.
-
-## Synthetic-data note
-
-This audio is synthetic.
-
-## Privacy
-
-The source text was generated from scientific templates and contains no intentionally included personal data.
+## Current contents
+
+- **8,995 utterances**
+- **20.000 measured hours**
+- 16 kHz mono embedded FLAC audio
+- `text`: desired ASR transcript
+- `tts_text`: pronunciation-friendly text supplied to Kokoro
+
+## Corpus generations
+
+- `v1_10h_original`: original approximately 10-hour release
+- `v2_20h_expansion`: second tranche bringing the dataset to 20 measured hours
+
+## v2 expansion focus
+
+- mM vs mL and µM vs µL unit/context contrasts
+- dilution notation and CFU enumeration
+- microbiology organisms and selective media
+- antimicrobial susceptibility and MIC language
+- molecular biology and qPCR terminology
+- laboratory QC and reporting language
+
+## Categories
+
+- `microbiology`: 3,795
+- `units_concentrations`: 1,032
+- `quantitative_science`: 695
+- `enumeration`: 606
+- `laboratory_methods`: 590
+- `molecular_biology`: 527
+- `antimicrobial_susceptibility`: 455
+- `chemistry`: 382
+- `quality_science`: 254
+- `biochemistry_general_science`: 197
+- `unit_contrasts`: 167
+- `general_science`: 136
+- `scientific_language`: 84
+- `laboratory_qc`: 75
+
+Synthetic speech is useful for domain adaptation, but real-human scientific speech should remain an independent validation target.