| --- |
| configs: |
| - config_name: th |
| data_files: |
| - split: train |
| path: corpus/th.train.clean.jsonl |
| - split: eval |
| path: corpus/th.eval.clean.jsonl |
| - config_name: th-5000h |
| data_files: |
| - split: train |
| path: corpus/th.train.coverage-5000h.jsonl |
| - split: eval |
| path: corpus/th.eval.clean.jsonl |
| - config_name: audio-aadonis |
| data_files: |
| - split: train |
| path: audio/aadonis/*/part-*.parquet |
| - config_name: audio-common_voice16 |
| data_files: |
| - split: train |
| path: audio/common_voice16/*/part-*.parquet |
| - config_name: audio-fleurs |
| data_files: |
| - split: train |
| path: audio/fleurs/*/part-*.parquet |
| - config_name: audio-gigaspeech2 |
| data_files: |
| - split: train |
| path: audio/gigaspeech2/*/part-*.parquet |
| - config_name: audio-worldspeech |
| data_files: |
| - split: train |
| path: audio/worldspeech/*/part-*.parquet |
| - config_name: audio-central |
| data_files: |
| - split: train |
| path: audio/central/*/part-*.parquet |
| - config_name: audio-elderly |
| data_files: |
| - split: train |
| path: audio/elderly/*/part-*.parquet |
| - config_name: audio-gowajee |
| data_files: |
| - split: train |
| path: audio/gowajee/*/part-*.parquet |
| - config_name: audio-isan |
| data_files: |
| - split: train |
| path: audio/isan/*/part-*.parquet |
| - config_name: audio-khummuang |
| data_files: |
| - split: train |
| path: audio/khummuang/*/part-*.parquet |
| - config_name: audio-korat |
| data_files: |
| - split: train |
| path: audio/korat/*/part-*.parquet |
| - config_name: audio-lotusdis |
| data_files: |
| - split: train |
| path: audio/lotusdis/*/part-*.parquet |
| - config_name: audio-pattani |
| data_files: |
| - split: train |
| path: audio/pattani/*/part-*.parquet |
| - config_name: audio-thai_ser |
| data_files: |
| - split: train |
| path: audio/thai_ser/*/part-*.parquet |
| - config_name: audio-yodas_clean |
| data_files: |
| - split: train |
| path: audio/yodas_clean/*/part-*.parquet |
| --- |
| |
| # th cleaned speech corpus |
|
|
| This refresh provides a converged full train manifest, a frozen eval manifest, |
| and a token-coverage subset of approximately 5000 hours. All three manifests |
| reuse the existing validated FLAC-in-Parquet audio pool; no audio was copied, |
| repacked, or transcoded for this refresh. |
|
|
| ## Corpus overview |
|
|
| | Variant | Rows | Hours | |
| |---|---:|---:| |
| | train | 11,756,895 | 13412.724 | |
| | coverage_5000h | 4,338,927 | 4999.983 | |
| | eval | 1,772 | 2.001 | |
| |
| All audio locators are portable and have the form |
| `audio/<subset>/<group>/part-N.parquet#row=N`. |
| |
| The release audit records exact input/output hashes, rejected audio mappings, |
| language-tag validation, and zero train/eval audio-identity overlap. |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("WTForbes/th", "th-5000h", split="train") |
| ``` |
| |
| ## Update 2026-09-10 — incremental additions and contamination removal |
| |
| This revision does **not** rewrite any existing audio part. It (1) appends ten new subsets, (2) removes |
| 3,903 rows from `corpus/th.train.clean.jsonl` whose audio or text collides with public ASR benchmarks, |
| and (3) adds provenance columns. Everything else is byte-identical to the previous revision. |
| |
| ### New subsets (`audio/<subset>/<hash>/part-*.parquet`, rows appended to `corpus/th.train.clean.jsonl`) |
| |
| | subset | source | licence | rows | hours | text cleaning | |
| |---|---|---|---|---|---| |
| | central | Porjai Thai Dialect Corpus, central split (HF) | CC BY-SA | 335,674 | 697.7 | word-spaced transcripts joined; R1–R10 normaliser | |
| | korat / khummuang / pattani | Porjai Thai Dialect Corpus, dialect splits | CC BY-SA | 40,704 / 24,543 / 39,361 | 48.2 / 33.9 / 41.2 | same; `dialect` column set; khummuang/pattani dev were used for training, do not evaluate on them | |
| | isan | Typhoon Isan dataset | CC BY-SA | 9,971 | 27.7 | official `thai_spelling` column is unreliable → Thai spelling rebuilt from the `[isan]<thai>` raw pairs; common loanwords → Thai script (LLM-audited) | |
| | lotusdis | LOTUSDIS far-field meeting corpus | research | 133,320 | 100.9 | loanwords → Thai script (94 % audit pass); mic/distance kept in `mic` | |
| | thai_ser | THAI-SER (scripted turns only) | CC BY-SA | 21,562 | 31.4 | improvised turns have no transcript and are excluded | |
| | elderly | Thai Elderly Speech (GitHub, 3 parts) | CC BY-SA | 19,200 | 26.6 | — | |
| | gowajee | Gowajee corpus | research | 18,796 | 15.9 | phrase spaces restored from the turbo model's segmentation | |
| | yodas_clean | YODAS2 th000 (YouTube subtitles) | CC BY 3.0 | 25,513 | 155.9 | windows ≤ 28 s; spam-subtitle filter; kept only when large-v3 phoneme error ≤ 0.10 **and** a Qwen3.8 judge accepted the subtitle (typos minimally fixed, hallucinations dropped) | |
|
|
| All new rows carry: `text` (normalised: no punctuation, ๆ expanded, digits spelled out, fillers standardised), |
| `text_raw` (the source transcript untouched), `text_v1` (before the semantic loanword pass, where it differs), |
| `quality_version = th_add_2026-09-10`, `id_orig`, `speaker`, `split`, `dialect`, `flags`, plus the standard |
| `audio_id / audio_parquet / audio_row` locators. Audio is 16 kHz mono FLAC, PCM_16, verified by `sha256` and |
| `pcm_sha256` exactly like the existing parts. |
|
|
| Rows whose raw transcript contained Arabic digits are **kept** (they were excluded from *our* training because |
| the spoken form is ambiguous, but that is a training choice, not a data defect). |
|
|
| ### Rows removed from the train manifest (3,903) |
|
|
| | subset | removed | reason | |
| |---|---|---| |
| | gigaspeech2 | 3,874 | audio or exact/near-exact text matches GigaSpeech2 `test` / `dev` or the 1,000-utterance `typhoon-ai/gigaspeech2-typhoon` benchmark | |
| | common_voice16 | 19 | text matches TVSpeech / GS2 test sentences | |
| | aadonis | 10 | text matches GS2 dev sentences | |
| |
| The full list (`audio_parquet`, `audio_row`, subset, match type, benchmark id) is in |
| `/workspace/report/wtf_th_delete_rows.json` (mirrored as `corpus/removed.contamination.2026-09-10.jsonl`). |
| The audio parts themselves are untouched, so the rows can be restored by re-adding them to the manifest. |
|
|
| ### Not obtained (so not in this revision) |
| - **GigaSpeech2 (gated part)**: the official HF release is gated; only the mirror shards already inside |
| `wtf_gigaspeech2` are used. No further GS2 audio was downloaded. |
| - **Common Voice 26 (th)**: requires a Mozilla Data Collective login; HF mirrors stop at CV 11/13, so nothing |
| beyond the existing `common_voice16` subset was added. |
| - There is no other Thai source waiting for download; the fine-tuning line is paused (analysis phase), so the |
| next data change will be the worldspeech ำ/า repair, not new collection. |
|
|
| ### Known issues left as-is |
| - `worldspeech`: 19.4 % of rows write ำ as า (a PDF-extraction defect in the source). Not repaired in this |
| revision; a substitution-only LLM repair is piloted but not yet validated. |
| - `gigaspeech2` labels are the EThai refined labels (they already were); no change. |
|
|
