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README.md

@@ -1,11 +1,7 @@
 ---
+license: cc-by-nc-4.0
 language:
 - ru
-license: cc-by-4.0
-task_categories:
-- automatic-speech-recognition
-size_categories:
-- n>1M
 tags:
 - audio
 - speech
@@ -13,85 +9,45 @@ tags:
 - ASR
 - opus
 - voice
-pretty_name: GOLOS OPUS
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: path
-    dtype: string
-  - name: text
-    dtype: string
-  - name: duration
-    dtype: float32
-  - name: audio
-    dtype: audio
-  config_name: crowd, farfield
-  splits:
-  - name: train
-  - name: test
+configs:
+- config_name: crowd
+  data_files:
+  - split: train
+    path: "crowd/train/*.tar"
+  - split: test
+    path: "crowd/test/*.tar"
+- config_name: farfield
+  data_files:
+  - split: train
+    path: "farfield/train/*.tar"
+  - split: test
+    path: "farfield/test/*.tar"
+size_categories:
+- n<100K
 ---
-# GOLOS OPUS Dataset
-
 ## Dataset Description
-
 GOLOS is a Russian dataset for speech research. This is the OPUS version of the GOLOS dataset.
 
-## Subsets
-
-The dataset contains two subsets:
-- **crowd**: Crowd-sourced recordings
-- **farfield**: Far-field recordings
-
-## Dataset Structure
-
-This dataset is organized in the Common Voice format:
-
-- `/audio/{subset}/{split}/` - Contains TAR files with audio files
-- `/transcript/{subset}/` - Contains TSV files with transcriptions
-- `/n_shards.json` - Contains information about the number of shards for each subset and split
-
-## Usage
+### Usage
 
 ```python
-from datasets import load_dataset
-from torch.utils.data import DataLoader
+from datasets import load_dataset, Audio
 
-# Загрузка crowd подмножества, тренировочного сплита
 dataset = load_dataset("Sh1man/golos_opus", "crowd", split="train")
-
-# Или использование всего датасета
-dataset = load_dataset("Sh1man/golos_opus", "crowd")
-train_dataset = dataset["train"]
-test_dataset = dataset["test"]
-
-# Создание DataLoader
-dataloader = DataLoader(dataset, batch_size=32)
-
-# Доступ к данным
-for batch in dataloader:
-    print(batch["audio"])
-    print(batch["text"])
+print(dataset[0]['opus'])
 ```
 
-## Dataset Statistics
-
 
-### crowd subset
+## Dataset Statistics
 
-| Split | Samples | Hours |
-|-------|---------|-------|
-| train | 979796 | 1094.99 |
-| test | 9994 | 11.20 |
-| **Total** | **989790** | **1106.19** |
+## **Dataset structure**
 
-### farfield subset
+| Domain         | Train files | Train hours  | Test files | Test hours |
+|----------------|------------|--------|-------|------|
+| Crowd          | 979 796    | 1 095  | 9 994 | 11.2 |
+| Farfield       | 124 003    |   132.4| 1 916 |  1.4 |
+| Total          | 1 103 799  | 1 227.4|11 910 | 12.6 |
 
-| Split | Samples | Hours |
-|-------|---------|-------|
-| train | 124003 | 132.46 |
-| test | 1916 | 1.41 |
-| **Total** | **125919** | **133.87** |
 
 ## License
 
@@ -110,4 +66,4 @@ Russian Version: https://github.com/salute-developers/golos/blob/master/license/
   pages={1419--1423},
   doi={10.21437/Interspeech.2021-462}
 }
-```
+```

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