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README.md

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+---
+pretty_name: Larry VCTK Normalized
+license: cc-by-4.0
+language: [en]
+task_categories:
+  - automatic-speech-recognition
+  - text-to-speech
+size_categories: [10K<n<100K]
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: train/*.parquet
+---
+
+# Larry VCTK Normalized
+
+Built from the [CSTR VCTK Corpus, version 0.92](https://datashare.ed.ac.uk/handle/10283/3443), published by the Centre
+for Speech Technology Research (CSTR), University of Edinburgh.
+
+The VCTK dataset from Edinburgh datashare redistributed on huggingface with no preprocessing. 
+109 English speakers with various accents. Both of the corpus's microphone recordings are included as separate rows, 
+giving 88,156 clips (~82.5 hours) of 44,283 utterances, un-pruned.
+
+## Fields
+- `id`: utterance id, e.g. `p225_001`; the same utterance appears once per microphone, so `id` and `mic_id` together
+  identify a row
+- `speaker_id`: VCTK speaker id, e.g. `p225`; speaker age, gender, and accent are in the corpus's `speaker-info.txt`
+- `mic_id`: `mic1` (DPA 4035 omni-directional) or `mic2` (Sennheiser MKH 800)
+- `path`: the audio file's path within the corpus's `wav48_silence_trimmed` folder
+- `audio`: Arrow audio typed column of (bytes, path); 48 kHz mono FLAC as distributed in the corpus
+- `text_original`: the transcript as distributed in the corpus
+- `text_normalized`: the same text spelled out as spoken, in uppercase letters, apostrophes, and spaces (e.g. "Mr" ->
+  `MISTER`)
+- `duration_s`: clip length in seconds
+- `ctc_mismatch`: how poorly the clip's audio matches its text (lower is better)
+
+## Construction
+Each transcript in `txt/` is paired with its recordings in `wav48_silence_trimmed/` by file name. Scored with
+`facebook/wav2vec2-large-960h-lv60-self`. See `provenance.json` for the producing commit, timestamp, and ancestry.
+
+## Known corrections
+### From the corpus
+- Silent, cut-off, and misspoken recordings were deleted, and several transcripts fixed, by the corpus authors; see
+  the corpus's `update.txt`
+- The audio was end-pointed (leading and trailing silence trimmed) by the corpus authors
+
+### From this dataset
+- Transcripts per example are joined onto a single line with single spaces
+
+## Known gaps
+- p315 is not included: the corpus has their recordings but no transcripts
+- 300 transcripts for p362 are not included: the corpus has no recordings for them
+- p280 has no `mic2` recordings (the corpus notes technical issues with that microphone for this speaker), so their 410
+  utterances appear once instead of twice
+- `mic1` recordings have very low frequency noise, per the corpus's `update.txt`
+- The Rainbow Passage and elicitation paragraph are read by every speaker, so those sentences repeat across speakers;
+  there are 13,754 distinct normalized sentences
+- No quality, duration, or `ctc_mismatch` filtering is applied here; that is left to downstream consumers
+
+The CSTR VCTK Corpus is licensed CC-BY-4.0, and this redistribution is CC-BY-4.0 under the larry project.
+
+## Citation
+If you use this dataset, please cite the original corpus:
+
+```
+@misc{veaux2019vctk,
+  author    = {Veaux, Christophe and Yamagishi, Junichi and MacDonald, Kirsten},
+  title     = {{CSTR VCTK Corpus}: English Multi-speaker Corpus for {CSTR} Voice Cloning Toolkit (version 0.92)},
+  publisher = {The Centre for Speech Technology Research (CSTR), University of Edinburgh},
+  year      = {2019},
+  url       = {https://datashare.ed.ac.uk/handle/10283/3443}
+}
+```
+
+Preprocessing pipeline code is at https://github.com/Mekadrom/larry, and this dataset is fully reproducible with a
+single command in that repo, given the corpus archive `DS_10283_3443.zip` downloaded from the link above into the
+configured `download_extract_cache_dir` (the downloader may attempt to download it for you, but this has not been 
+tested):
+
+```
+uv run preprocessing --config_file configs/preprocessing/normalized/voice/edinburgh-datashare_vctk-normalized.yaml --output_dir ~/.cache/larry/datasets/normalized/voice/edinburgh-datashare_vctk-normalized --clean
+```

provenance.json

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+{
+	"id_columns": [
+		"id",
+		"speaker_id",
+		"sentence_id"
+	],
+	"ancestry": {
+		"datasets": [
+			"https://datashare.ed.ac.uk/handle/10283/344"
+		],
+		"models": [
+			"facebook/wav2vec2-large-960h-lv60-self"
+		]
+	},
+	"produced_on": "2026-10-12T17:36:48+00:00",
+	"git_commit": "69252e059c68b4d20ba1fbf41a834aaed8277368",
+	"git_is_dirty": false
+}

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