Add dataset documentation with cohort-based configuration

README.md

@@ -10,67 +10,99 @@ task_categories:
 - automatic-speech-recognition
 - audio-classification
 pretty_name: Multilingual Speech Sample
+dataset_info:
+  features:
+  - name: file_name
+    dtype: string
+  - name: id
+    dtype: int64
+  - name: gender
+    dtype: string
+  - name: ethnicity
+    dtype: string
+  - name: occupation
+    dtype: string
+  - name: country_code
+    dtype: string
+  - name: birth_place
+    dtype: string
+  - name: mother_tongue
+    dtype: string
+  - name: dialect
+    dtype: string
+  - name: year_of_birth
+    dtype: int64
+  - name: years_at_birth_place
+    dtype: int64
+  - name: languages_data
+    dtype: string
+  - name: os
+    dtype: string
+  - name: device
+    dtype: string
+  - name: browser
+    dtype: string
+  - name: duration
+    dtype: float64
+  - name: emotions
+    dtype: string
+  - name: language
+    dtype: string
+  - name: location
+    dtype: string
+  - name: noise_sources
+    dtype: string
+  - name: script_id
+    dtype: int64
+  - name: type_of_script
+    dtype: string
+  - name: script
+    dtype: string
+  - name: transcript
+    dtype: string
+  - name: speaker_id
+    dtype: string
 configs:
-- config_name: spanish_mexico_free_speech
+- config_name: spanish_mexico
   data_files:
-  - split: train
-    path: spanish_mexico_free_speech/**
-- config_name: spanish_mexico_keywords
+  - split: free_speech
+    path: spanish_mexico/free_speech/**
+  - split: keywords
+    path: spanish_mexico/keywords/**
+  - split: monologues
+    path: spanish_mexico/monologues/**
+- config_name: english_china
   data_files:
-  - split: train
-    path: spanish_mexico_keywords/**
-- config_name: spanish_mexico_monologues
+  - split: free_speech
+    path: english_china/free_speech/**
+  - split: keywords
+    path: english_china/keywords/**
+  - split: monologues
+    path: english_china/monologues/**
+- config_name: english_nigeria
   data_files:
-  - split: train
-    path: spanish_mexico_monologues/**
-- config_name: english_china_free_speech
+  - split: free_speech
+    path: english_nigeria/free_speech/**
+  - split: keywords
+    path: english_nigeria/keywords/**
+  - split: monologues
+    path: english_nigeria/monologues/**
+- config_name: english_united_states
   data_files:
-  - split: train
-    path: english_china_free_speech/**
-- config_name: english_china_keywords
+  - split: free_speech
+    path: english_united_states/free_speech/**
+  - split: keywords
+    path: english_united_states/keywords/**
+  - split: monologues
+    path: english_united_states/monologues/**
+- config_name: german_germany
   data_files:
-  - split: train
-    path: english_china_keywords/**
-- config_name: english_china_monologues
-  data_files:
-  - split: train
-    path: english_china_monologues/**
-- config_name: english_nigeria_free_speech
-  data_files:
-  - split: train
-    path: english_nigeria_free_speech/**
-- config_name: english_nigeria_keywords
-  data_files:
-  - split: train
-    path: english_nigeria_keywords/**
-- config_name: english_nigeria_monologues
-  data_files:
-  - split: train
-    path: english_nigeria_monologues/**
-- config_name: english_united_states_free_speech
-  data_files:
-  - split: train
-    path: english_united_states_free_speech/**
-- config_name: english_united_states_keywords
-  data_files:
-  - split: train
-    path: english_united_states_keywords/**
-- config_name: english_united_states_monologues
-  data_files:
-  - split: train
-    path: english_united_states_monologues/**
-- config_name: german_germany_free_speech
-  data_files:
-  - split: train
-    path: german_germany_free_speech/**
-- config_name: german_germany_keywords
-  data_files:
-  - split: train
-    path: german_germany_keywords/**
-- config_name: german_germany_monologues
-  data_files:
-  - split: train
-    path: german_germany_monologues/**
+  - split: free_speech
+    path: german_germany/free_speech/**
+  - split: keywords
+    path: german_germany/keywords/**
+  - split: monologues
+    path: german_germany/monologues/**
 size_categories:
 - n<1K
 ---
@@ -80,6 +112,9 @@ size_categories:
   <img src="https://cdn-uploads.huggingface.co/production/uploads/69162b50b89e7abe20de4b5a/LWhs4p2lPFcyiVsP0tluu.png" width="40%">
 </p>
 
+[![Website](https://img.shields.io/badge/Website-silencioai.com-blue?style=flat-square)](https://www.silencioai.com)
+[![Contact](https://img.shields.io/badge/Contact-Get_in_Touch-green?style=flat-square)](https://www.silencioai.com/contact)
+
 ## Overview
 
 Silencio data is valuable because it's collected in the wild from a massive, opt-in community (1.2M users across 180+ countries), giving buyers real-world accents, dialects, devices, and environments that lab or scraped datasets don't capture. Every recording is tied to explicit, traceable consent and processed with privacy-first pipelines (GDPR/CCPA compliant, anonymized, PII hashed), which reduces legal risk for enterprise buyers. On top of that, the same community lets us scale quickly into hard-to-source languages and niches, so clients get both authenticity today and a credible path to large volumes tomorrow.
@@ -104,14 +139,23 @@ All recordings are stored as **48 kHz WAV** files.
 ```python
 from datasets import load_dataset
 
-# Load a specific cohort and script type
-ds = load_dataset("SilencioNetwork/multilingual-accent-speech", "spanish_mexico_free_speech")
+# Load a specific language-region cohort
+ds = load_dataset("SilencioNetwork/multilingual-accent-speech", "spanish_mexico")
 
-# Access audio and metadata
-for sample in ds['train']:
+# Access different script types using splits
+for sample in ds['free_speech']:
     audio = sample['audio']  # Audio data with sampling_rate and array
     transcript = sample['transcript']
     speaker_id = sample['speaker_id']
+
+# Or access other splits
+for sample in ds['keywords']:
+    # Process keywords samples
+    pass
+
+for sample in ds['monologues']:
+    # Process monologues samples
+    pass
 ```
 
 ## Speech Types
@@ -130,56 +174,92 @@ All data is **crowdsourced**. Contributors record themselves using their availab
 Transcriptions are machine-generated using **OpenAI Whisper**, preserving its segmentation structure where applicable.
 
 ## Dataset Statistics
-This is a sample dataset with up to 25 recordings per config, split by language-region and script type. Durations are given in hours.
-
-| Config | Recordings | Speakers | Duration (hrs) |
-|--------|-----------|----------|----------------|
-| spanish_mexico_free_speech | 25 | 5 | 0.27 |
-| spanish_mexico_keywords | 6 | 2 | 0.05 |
-| spanish_mexico_monologues | 25 | 7 | 0.45 |
-| english_china_free_speech | 25 | 13 | 0.33 |
-| english_china_keywords | 25 | 6 | 0.19 |
-| english_china_monologues | 25 | 10 | 0.44 |
-| english_nigeria_free_speech | 25 | 23 | 0.32 |
-| english_nigeria_keywords | 25 | 23 | 0.16 |
-| english_nigeria_monologues | 25 | 21 | 0.53 |
-| english_united_states_free_speech | 25 | 18 | 0.3 |
-| english_united_states_keywords | 25 | 14 | 0.18 |
-| english_united_states_monologues | 25 | 13 | 0.32 |
-| german_germany_free_speech | 25 | 16 | 0.25 |
-| german_germany_keywords | 25 | 15 | 0.16 |
-| german_germany_monologues | 25 | 14 | 0.32 |
-| **Total** | **356** | **161** | **4.29** |
+This is a sample dataset organized by language-region, with each cohort split by script type. Durations are given in hours.
+
+### Spanish (Mexico)
+| Split | Recordings | Speakers | Duration (hrs) |
+|-------|-----------|----------|----------------|
+| free_speech | 25 | 5 | 0.27 |
+| keywords | 6 | 2 | 0.05 |
+| monologues | 25 | 7 | 0.45 |
+| **Subtotal** | **56** | **9** | **0.77** |
+
+### English (China)
+| Split | Recordings | Speakers | Duration (hrs) |
+|-------|-----------|----------|----------------|
+| free_speech | 25 | 13 | 0.33 |
+| keywords | 25 | 6 | 0.19 |
+| monologues | 25 | 10 | 0.44 |
+| **Subtotal** | **75** | **18** | **0.96** |
+
+### English (Nigeria)
+| Split | Recordings | Speakers | Duration (hrs) |
+|-------|-----------|----------|----------------|
+| free_speech | 25 | 23 | 0.32 |
+| keywords | 25 | 23 | 0.16 |
+| monologues | 25 | 21 | 0.53 |
+| **Subtotal** | **75** | **46** | **1.01** |
+
+### English (United States)
+| Split | Recordings | Speakers | Duration (hrs) |
+|-------|-----------|----------|----------------|
+| free_speech | 25 | 18 | 0.3 |
+| keywords | 25 | 14 | 0.18 |
+| monologues | 25 | 13 | 0.32 |
+| **Subtotal** | **75** | **31** | **0.80** |
+
+### German (Germany)
+| Split | Recordings | Speakers | Duration (hrs) |
+|-------|-----------|----------|----------------|
+| free_speech | 25 | 16 | 0.25 |
+| keywords | 25 | 15 | 0.16 |
+| monologues | 25 | 14 | 0.32 |
+| **Subtotal** | **75** | **27** | **0.73** |
+
+### Overall Total
+| Metric | Value |
+|--------|-------|
+| Total Recordings | 356 |
+| Total Speakers | 161 |
+| Total Duration | 4.29 hrs |
+| Configs | 5 |
+| Splits per Config | 3 |
 
 ## File Structure
-Each config is organized as `{language}_{region}_{script_type}/`. For example:
+Each config is organized by language-region, with splits for each script type:
 
 ```
-spanish_mexico_free_speech/
-    data/
-        audio_389928.wav
-        audio_390100.wav
-        ... (25 files)
-    metadata.csv
-spanish_mexico_keywords/
-    data/
-        audio_689765.wav
-        audio_706259.wav
-        ... (6 files)
-    metadata.csv
-spanish_mexico_monologues/
-    data/
-        audio_348730.wav
-        audio_348844.wav
+spanish_mexico/
+    free_speech/
+        data/
+            audio_389928.wav
+            audio_390100.wav
+            ... (25 files)
+        metadata.csv
+    keywords/
+        data/
+            audio_689765.wav
+            audio_706259.wav
+            ... (6 files)
+        metadata.csv
+    monologues/
+        data/
+            audio_348730.wav
+            audio_348844.wav
+            ... (25 files)
+        metadata.csv
+english_china/
+    free_speech/
+        data/
+            audio_90018.wav
+            audio_90032.wav
+            ... (25 files)
+        metadata.csv
+    keywords/
         ... (25 files)
-    metadata.csv
-english_china_free_speech/
-    data/
-        audio_90018.wav
-        audio_90032.wav
+    monologues/
         ... (25 files)
-    metadata.csv
-... (11 more configs)
+... (3 more cohorts)
 ```
 
 Audio files are stored separately in AudioFolder format with metadata in CSV files.
@@ -232,6 +312,10 @@ Suitable for:
 - Transcripts are automatically generated. Errors may be present.
 - Crowdsourced device diversity introduces variable noise levels.
 
+## Contact
+
+For questions, custom datasets, or commercial licensing inquiries, please visit our [website](https://www.silencioai.com/contact).
+
 ## Citation
 ```
 @dataset{silencio_network_speech_2025,