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README.md

@@ -1,31 +1,85 @@
----
-dataset_info:
-  features:
-  - name: audio
-    dtype: audio
-  - name: transcription
-    dtype: string
-  - name: Speaker ID
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 58513440.578
-    num_examples: 2858
-  - name: validation
-    num_bytes: 56714850.712
-    num_examples: 2912
-  - name: test
-    num_bytes: 70051704.606
-    num_examples: 3437
-  download_size: 183555285
-  dataset_size: 185279995.896
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
----
+---
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+language:
+- vi
+pretty_name: VietMed labeled set
+size_categories:
+- 1K<n<10K
+dataset_info:
+  features:
+  - name: audio
+    dtype: audio
+  - name: transcription
+    dtype: string
+  - name: Speaker ID
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 58513440.578
+    num_examples: 2858
+  - name: validation
+    num_bytes: 56714850.712
+    num_examples: 2912
+  - name: test
+    num_bytes: 70051704.606
+    num_examples: 3437
+  download_size: 183555285
+  dataset_size: 185279995.896
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+---
+
+# unofficial mirror of VietMed (Vietnamese speech data in medical domain) labeled set
+
+official announcement: https://arxiv.org/abs/2404.05659
+
+official download: https://huggingface.co/datasets/leduckhai/VietMed
+
+this repo contains the labeled set: 9.2k samples
+
+i also gather the metadata: see [info.csv](info.csv)
+
+my extraction code: https://github.com/phineas-pta/fine-tune-whisper-vi/blob/main/misc/vietmed-labeled.py
+
+need to do: check misspelling, restore foreign words phonetised to vietnamese
+
+usage with HuggingFace:
+```python
+# pip install -q "datasets[audio]"
+from datasets import load_dataset
+from huggingface_hub import hf_hub_download
+from pandas import read_csv
+
+repo_id = "doof-ferb/VietMed_labeled"
+dataset = load_dataset(repo_id, split="train", streaming=True)
+info_file = hf_hub_download(repo_id=repo_id, filename="info.csv", repo_type="dataset")
+info_dict = read_csv(info_file, index_col=0).to_dict("index")
+
+def merge_info(batch):
+	meta = info_dict.get(batch["Speaker ID"], "")
+	if meta != "":
+		batch["Recording Condition"] = meta["Recording Condition"]
+		batch["ICD-10 Code"]         = meta["ICD-10 Code"]
+		batch["Role"]                = meta["Role"]
+		batch["Gender"]              = meta["Gender"]
+		batch["Accent"]              = meta["Accent"]
+	else:
+		batch["Recording Condition"] = ""
+		batch["ICD-10 Code"]         = ""
+		batch["Role"]                = ""
+		batch["Gender"]              = ""
+		batch["Accent"]              = ""
+	return batch
+dataset = dataset.map(merge_info)
+```
+

info.csv

@@ -0,0 +1,62 @@
+"Speaker ID","split","Recording Condition","ICD-10 Code","Role","Gender","Accent"
+"VietMed_001_a","Dev","Telephone","J00-J99","Doctor","Male","North"
+"VietMed_001_b","Dev","Telephone","J00-J99","Doctor","Male","North"
+"VietMed_002","Test","Lectures","N00-N99","Lecturer","Female","South Central Coast"
+"VietMed_003_a","Dev","Telephone","A00-B99","Host","Male","South East"
+"VietMed_003_b","Dev","Telephone","A00-B99","Doctor","Male","South West"
+"VietMed_004","Test","Consultation","M00-M99","Doctor","Male","South Central Coast"
+"VietMed_005","Dev","Consultation","I00-I99","Doctor","Male","Central Highland"
+"VietMed_006_a","Dev","Consultation","R00-R99","Doctor","Female","South East"
+"VietMed_006_b","Dev","Consultation","R00-R99","Host","Female","South East"
+"VietMed_007_a","Train","Consultation","I00-I99","Doctor","Male","Central Highland"
+"VietMed_007_b","Train","Consultation","I00-I99","Doctor","Male","South East"
+"VietMed_008_a","Train","Telephone","G00-G99","Host","Male","South East"
+"VietMed_008_b","Train","Telephone","G00-G99","Doctor","Male","South East"
+"VietMed_008_c","Train","Telephone","G00-G99","Doctor","Male","South East"
+"VietMed_009_a","Train","Consultation","E00-E89","Host","Male","South East"
+"VietMed_009_b","Train","Consultation","E00-E89","Doctor","Female","South East"
+"VietMed_009_c","Train","Consultation","E00-E89","Doctor","Male","South East"
+"VietMed_010_a","Train","Consultation","C00-D49","Host","Female","North"
+"VietMed_010_b","Train","Consultation","C00-D49","Doctor","Female","North"
+"VietMed_011_a","Train","Telephone","M00-M99","Host","Female","North"
+"VietMed_011_b","Train","Telephone","M00-M99","Doctor","Male","North"
+"VietMed_011_c","Train","Telephone","M00-M99","Patient","Male","North"
+"VietMed_012_a","Dev","Telephone","Z00-Z99","Host","Male","South East"
+"VietMed_012_b","Dev","Telephone","Z00-Z99","Doctor","Male","North"
+"VietMed_012_c","Dev","Telephone","Z00-Z99","Patient","Male","South West"
+"VietMed_012_d","Dev","Telephone","Z00-Z99","Patient","Female","North"
+"VietMed_013_a","Dev","Telephone","I00-I99","Host","Male","South East"
+"VietMed_013_b","Dev","Telephone","I00-I99","Doctor","Female","North"
+"VietMed_013_c","Dev","Telephone","I00-I99","Patient","Male","South East"
+"VietMed_013_d","Dev","Telephone","I00-I99","Patient","Female","North"
+"VietMed_014_a","Test","Telephone","K00-K95","Host","Female","North"
+"VietMed_014_b","Test","Telephone","K00-K95","Doctor","Male","North"
+"VietMed_015_a","Test","Telephone","O00-O9A","Host","Female","North"
+"VietMed_015_b","Test","Telephone","O00-O9A","Doctor","Female","North"
+"VietMed_015_c","Test","Telephone","O00-O9A","Patient","Female","North"
+"VietMed_017_a","Test","Talkshow","U00-U85","Doctor","Female","South West"
+"VietMed_017_b","Test","Talkshow","U00-U85","Doctor","Male","North"
+"VietMed_018_a","Test","Talkshow","K00-K95","Host","Female","South West"
+"VietMed_018_b","Test","Talkshow","K00-K95","Doctor","Male","South West"
+"VietMed_018_c","Test","Talkshow","K00-K95","Doctor","Female","South West"
+"VietMed_018_d","Test","Talkshow","K00-K95","Patient","Female","South West"
+"VietMed_018_e","Test","Talkshow","K00-K95","Patient","Male","South West"
+"VietMed_018_f","Test","Talkshow","K00-K95","Doctor","Male","South West"
+"VietMed_019_a","Test","Talkshow","L00-L99","Host","Female","South West"
+"VietMed_019_b","Test","Talkshow","L00-L99","Doctor","Female","South West"
+"VietMed_019_c","Dev","Talkshow","L00-L99","Doctor","Male","South West"
+"VietMed_019_d","Dev","Talkshow","L00-L99","Patient","Female","South West"
+"VietMed_020_a","Dev","Telephone","Z00-Z99","Host","Female","South West"
+"VietMed_020_b","Dev","Telephone","Z00-Z99","Doctor","Female","South West"
+"VietMed_021","Dev","Book","D50-D89","Narrator","Male","North"
+"VietMed_022","Dev","Book","F01-F99","Narrator","Male","South East"
+"VietMed_023","Test","Podcast","P00-P96","Podcaster","Female","South West"
+"VietMed_024","Test","Podcast","O00_O99","Podcaster","Female","South East"
+"VietMed_025_a","Test","Diagnosis","H60-H95","Host","Female","South West"
+"VietMed_025_b","Test","Diagnosis","H60-H95","Doctor","Male","South East"
+"VietMed_026","Test","Lectures","A00-B99","Lecturer","Male","North Central Coast"
+"VietMed_027_a","Test","News","S00-T88","Host","Female","South West"
+"VietMed_027_b","Test","News","S00-T88","Broadcaster","Male","South East"
+"VietMed_028_a","Test","News","V00-Y99","Host","Female","South East"
+"VietMed_028_b","Test","News","V00-Y99","Broadcaster","Male","South East"
+"VietMed_029","Test","News","V00-Y99","Broadcaster","Female","South East"