Full ASR soup: refined transcripts, ids and metadata (no audio)

README.md

@@ -0,0 +1,84 @@
+---
+license: other
+language:
+- en
+task_categories:
+- automatic-speech-recognition
+pretty_name: High-quality ASR soup (transcripts and metadata)
+size_categories:
+- 1M<n<10M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/*/*.parquet
+- config_name: common_voice
+  data_files:
+  - split: train
+    path: data/common_voice/*.parquet
+- config_name: spgispeech
+  data_files:
+  - split: train
+    path: data/spgispeech/*.parquet
+- config_name: gigaspeech_audiobook
+  data_files:
+  - split: train
+    path: data/gigaspeech_audiobook/*.parquet
+- config_name: ami
+  data_files:
+  - split: train
+    path: data/ami/*.parquet
+---
+
+# highqualASRsoup
+
+Transcripts and metadata of an English ASR training mix built from four public corpora. **No audio is included**: each
+row carries the ids needed to fetch the audio from the upstream release.
+
+| Subset | Upstream | Rows | Share of rows | Hours | Transcript |
+|---|---|---:|---:|---:|---|
+| `common_voice` | Common Voice English 26.0, train | 1,147,340 | 30.14 % | 1,812.4 | as released |
+| `spgispeech` | SPGISpeech L, train | 1,926,805 | 50.62 % | 4,900.2 | as released |
+| `gigaspeech_audiobook` | GigaSpeech L, audiobook-source rows | 623,565 | 16.38 % | 650.0 | rewritten (see below) |
+| `ami` | AMI IHM, train | 108,502 | 2.85 % | 77.9 | rewritten (see below) |
+| **Total** | | **3,806,212** | | **7,440.5** | |
+
+## Transcript refinement
+
+GigaSpeech and AMI ship upper-case transcripts; GigaSpeech also uses symbolic punctuation tokens (`<COMMA>`, `<PERIOD>`, ...).
+For those two subsets every transcript was rewritten into normal written English (casing and punctuation) by
+`gpt-5.6-luna` (prompt version `20260907-v2`); the upstream transcript is kept in `original_text`. Common Voice and
+SPGISpeech transcripts are as released (`original_text` and `text_patch_model` are null), except 37 Common Voice rows
+whose text had been merged with the following TSV record (tab/newline in the field) during the build and was re-read
+literally from the release's `train.tsv`.
+
+Example (`gigaspeech_audiobook`): `SIX TOMATOES <PERIOD>` → `Six tomatoes.`
+
+## Columns
+
+| Column | Meaning |
+|---|---|
+| `utt_id` | sha1 of `"<corpus>|<id>"`; stable row key |
+| `corpus` | subset name |
+| `id` | upstream utterance id: CV clip file name, SPGISpeech `wav_filename`, GigaSpeech `segment_id`, AMI `audio_id` |
+| `text` | transcript used for training (refined for GigaSpeech / AMI) |
+| `original_text`, `text_patch_model` | upstream transcript and rewrite model (GigaSpeech / AMI only) |
+| `speaker` | CV `client_id`, AMI `speaker_id`, GigaSpeech `speaker` (upstream value, usually `N/A`) |
+| `group` | leakage group for speaker/recording-disjoint splits: CV client, SPGISpeech call, GigaSpeech book (`audio_id`), AMI speaker |
+| `duration_seconds` | from metadata: SPGISpeech WAV size (16 kHz, 16-bit), CV `clip_durations.tsv`, GigaSpeech / AMI `end_time - begin_time` |
+| `begin_time`, `end_time` | segment times in the source recording (GigaSpeech, AMI) |
+| `audio_id`, `meeting_id`, `microphone_id` | upstream recording ids (GigaSpeech book, AMI meeting / headset; CV clip) |
+| `title`, `url`, `source`, `category`, `original_full_path` | GigaSpeech audiobook metadata, as released |
+| `cv_source_dataset`, `wav_filesize` | CV release tag; SPGISpeech WAV size in bytes |
+| `source_shard`, `source_row` | Parquet file and row in the soup build (SPGISpeech, GigaSpeech and AMI file names follow the upstream Hub shard names; Common Voice files are the build's own metadata shards) |
+
+## Getting the audio
+
+Join on `id` with the upstream release: Common Voice English 26.0 (`clips/<id>`), SPGISpeech
+(`kensho/spgispeech`, config `L`, `wav_filename`), GigaSpeech (`speechcolab/gigaspeech`, config `l`, `segment_id`),
+AMI (`edinburghcstr/ami`, config `ihm`, `audio_id`).
+
+## License
+
+Each subset remains under its upstream license and terms of use: Common Voice (CC0-1.0), AMI (CC BY 4.0), SPGISpeech and
+GigaSpeech (gated on the Hub; accept their terms there). Use of these transcripts is subject to the same terms.

data/ami/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:191051d8360dede5d4b9a0cd11cd0c4b42105f4769434f81a9bf7fa3d4c7bc70
+size 9270471

data/common_voice/train-00000-of-00003.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:effea598f2ee7380a8a83f73d245edaa97791d5f56ce8b854ad92bef22d262ad
+size 32550653

data/common_voice/train-00001-of-00003.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0db9add44a703075bda5a23cebc4b20f9fa9cede36f2d8475a675bba4fa4bc67
+size 32648561

data/common_voice/train-00002-of-00003.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c899de3c099a0471162e66d534a5607bf034f585096ad05386016113fdd67792
+size 12315498

data/gigaspeech_audiobook/train-00000-of-00002.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:941a6707dcc3770099f7a2cf80cde69bc23d8d8bc23294dd8d856144e632c20e
+size 51107602

data/gigaspeech_audiobook/train-00001-of-00002.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1bc3c0d3cfa77960c904d67f5b11016efd195907821cafc20ffcfd150ee6e04
+size 13196579

data/spgispeech/train-00000-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44a6688cebff7605ff8ef59894f9af7363f250392a97a7063aaf80ceec53597b
+size 46396460

data/spgispeech/train-00001-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c09bc21e87716aa8d9e52278aa42d2fae869247bfcde4bf31a55829ebb66624
+size 42842354

data/spgispeech/train-00002-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd1783c1f135238a5648d30e7ac3c70567ed43102c459d497347a8c369bcc517
+size 42813387

data/spgispeech/train-00003-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:693b8a7e7bacd6c33bc54fb9cb06e301e9df30c6a0daa951afc7277df26fb9a5
+size 36645453