Add embedded-audio preview.parquet (LFS) for viewer; point viewer at preview; document full-corpus access

README.md

@@ -23,14 +23,9 @@ size_categories:
 - 10K<n<100K
 configs:
 - config_name: default
-  sep: "|"
   data_files:
-  - split: train
-    path: train.csv
-  - split: validation
-    path: val.csv
-  - split: test
-    path: test.csv
+  - split: preview
+    path: preview.parquet
 ---
 
 # Dialogs: A Studio-Quality Expressive Conversational Russian Speech Corpus
@@ -55,9 +50,16 @@ Presented at **Interspeech 2026** — I. Shigabeev and I. Latyshev (Langswap).
   (19.9 h / 0.30 h / 0.37 h); test/dev stratified (5 per speaker per emotion)
 - ✅ **Open & commercial-friendly** under a responsible-use license
 
-## Data format
+## Contents & layout
 
-Metadata is **pipe-delimited (`|`)**. Each row:
+- **`preview.parquet`** — a small sample (5 utterances per style, 60 total) with
+  **audio embedded**. This is what powers the dataset viewer above, so you can
+  listen before downloading. It is *not* the full corpus.
+- **Full corpus** — all 11,796 utterances live in the split files
+  **`train.csv` / `val.csv` / `test.csv`** (and `metadata.csv` for everything),
+  with the audio in **`wavs/`**.
+
+The CSVs are **pipe-delimited (`|`)**. Each row:
 
 | field | description |
 |---|---|
@@ -71,12 +73,21 @@ Metadata is **pipe-delimited (`|`)**. Each row:
 
 ## Usage
 
+**Preview (60 samples, audio included):**
+
 ```python
 from datasets import load_dataset
+preview = load_dataset("langswap/dialogs-ru-emotional-conversations", split="preview")
+print(preview[0])  # has a decoded `audio` column
+```
 
-# Replace with your final (de-anonymized) namespace, e.g. "langswap/..."
-ds = load_dataset("langswap/dialogs-ru-emotional-conversations")
-print(ds["train"][0])
+**Full corpus** — download the repo and read the split files + `wavs/`:
+
+```python
+import pandas as pd
+from huggingface_hub import snapshot_download
+local = snapshot_download("langswap/dialogs-ru-emotional-conversations", repo_type="dataset")
+train = pd.read_csv(f"{local}/train.csv", sep="|")   # audio at f"{local}/{train.audio_path}"
 ```
 
 ## Intended use

preview.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fba7215964aee4da95fe412d5ff434a912fe961be10b5eff6e9a9af49a315add
+size 29319422