metadata uploaded

README.md

@@ -1,40 +1,77 @@
 ---
-dataset_info:
-  features:
-  - name: audio
-    dtype: audio
-  - name: file name
-    dtype: string
-  - name: transcription
-    dtype: string
-  - name: speaker_id
-    dtype: int64
-  - name: speaker_name
-    dtype: string
-  - name: speaker_gender
-    dtype: string
-  - name: sentence_no
-    dtype: string
-  - name: repetation_no
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': ANGRY
-          '1': DISGUST
-          '2': FEAR
-          '3': HAPPY
-          '4': NEUTRAL
-          '5': SAD
-          '6': SURPRISE
-  splits:
-  - name: train
-    num_bytes: 3261447009.0
-    num_examples: 7000
-  download_size: 2203950787
-  dataset_size: 3261447009.0
+license: cc-by-4.0
+task_categories:
+- audio-classification
+language:
+- bn
+pretty_name: SUST BANGLA EMOTIONAL SPEECH CORPUS
+size_categories:
+- 1K<n<10K
 ---
-# Dataset Card for "SUBESCO-audio-dataset"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+# SUST BANGLA EMOTIONAL SPEECH CORPUS
+
+## Dataset Description
+
+- **Homepage:** [bn_emotion_speech_corpus](http://https://huggingface.co/datasets/sustcsenlp/bn_emotion_speech_corpus)
+- **Repository:** 
+- **Paper:** [SUBESCO PAPER](https://doi.org/10.1371/journal.pone.0250173)
+- **Leaderboard:** 
+- **Point of Contact:** [Sadia Sultana]([email protected])
+
+### Dataset Summary
+
+SUBESCO is an audio-only emotional speech corpus of 7000 sentence-level utterances of the Bangla language. 20 professional actors (10 males and 10 females) participated in the recordings of 10 sentences for 7 target emotions. The emotions are Anger, Disgust, Fear, Happiness, Neutral, Sadness and Surprise. Total duration of the corpus is 7 hours 40 min 40 sec.  Total size of the dataset is 2.03 GB. The dataset was evaluated by 50 raters (25 males, 25 females). Human perception test achieved a raw accuracy of 71%.  All the details relating to creation, evaluation and analysis of SUBESCO have been described in the corresponding journal paper which has been published in Plos One.
+
+https://doi.org/10.1371/journal.pone.0250173
+
+### Downloading the data
+
+```
+from datasets import load_dataset
+
+train = load_dataset("sajid73/SUBESCO-audio-dataset", split="train")
+
+```
+
+### Languages
+
+This dataset contains `Bangla` Audio Data.
+
+## Dataset Creation
+
+This database was created as a part of PhD thesis project of the author Sadia Sultana. It was designed and developed by the author in the Department of Computer Science and Engineering of Shahjalal University of Science and Technology. Financial grant was supported by the university. If you use the dataset please cite SUBESCO and the corresponding academic journal publication in Plos One.
+
+### Citation Information
+
+```
+@dataset{sadia_sultana_2021_4526477,
+  author       = {Sadia Sultana},
+  title        = {SUST Bangla Emotional Speech Corpus (SUBESCO)},
+  month        = feb,
+  year         = 2021,
+  note         = {{This database was created as a part of PhD thesis 
+                   project of the author Sadia Sultana. It was
+                   designed and developed by the author in the
+                   Department of Computer Science and Engineering  of
+                   Shahjalal University of Science and Technology.
+                   Financial grant was supported by the university.
+                   If you use the dataset please cite SUBESCO and the
+                   corresponding academic journal publication in Plos
+                   One.}},
+  publisher    = {Zenodo},
+  version      = {version - 1.1},
+  doi          = {10.5281/zenodo.4526477},
+  url          = {https://doi.org/10.5281/zenodo.4526477}
+}
+
+```
+
+### Contributors
+
+| Name      | University |
+| ----------- | ----------- |
+| Sadia Sultana      | Shahjalal University of Science and Technology       |
+| Dr. M. Zafar Iqbal   | Shahjalal University of Science and Technology        |
+| Dr. M. Shahidur Rahman                    |   Shahjalal University of Science and Technology            |