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README.md

@@ -1,52 +1,75 @@
+
 ---
-tags:
-- speech-recognition
-language:
+language: 
 - ind
+pretty_name: Indspeech Teldialog Svcsr
+task_categories: 
+- speech-recognition
+tags: 
+- speech-recognition
 ---
 
-# indspeech_teldialog_svcsr
-
 This is the first Indonesian speech dataset for small vocabulary continuous speech recognition (SVCSR).
-
 The data was developed by TELKOMRisTI (R&D Division, PT Telekomunikasi Indonesia) in collaboration with Advanced
-
 Telecommunication Research Institute International (ATR) Japan and Bandung Institute of Technology (ITB) under the
-
 Asia-Pacific Telecommunity (APT) project in 2004 [Sakti et al., 2004]. Although it was originally developed for
-
 a telecommunication system for hearing and speaking impaired people, it can be used for other applications,
-
 i.e., automatic call centers. Furthermore, as all speakers utter the same sentences,
-
 it can also be used for voice conversion tasks.
 
-
-
 The text is based on a word vocabulary which is derived from some necessary dialog calls,
-
 such as dialog calls with the 119 emergency department, 108 telephone information department,
-
 and ticket reservation department. In total, it consists of 20,000 utterances (about 18 hours of speech) from the
-
 70-word dialog vocabulary of 100 sentences (including single word sentences) each uttered by 200 speakers
-
 (100 Females, 100 Males). The age is limited to middle age (20-40 years), but they present a wide range of spoken
-
 dialects from different ethnic groups. The recording is conducted in parallel for both clean and telephone speech,
-
 but we open only the clean speech due to quality issues on telephone speech.
-
 Each audio file is a single-channel 16-bit PCM WAV with a sample rate of 16000 Hz.
-
 These utterances are equally split into training and test sets with 100 speakers (50 Females, 50 Males) in each set.
 
+
+## Languages
+
+ind
+
+## Supported Tasks
+
+Speech Recognition
+    
 ## Dataset Usage
+### Using `datasets` library
+```
+    from datasets import load_dataset
+    dset = datasets.load_dataset("SEACrowd/indspeech_teldialog_svcsr", trust_remote_code=True)
+```
+### Using `seacrowd` library
+```import seacrowd as sc
+# Load the dataset using the default config
+    dset = sc.load_dataset("indspeech_teldialog_svcsr", schema="seacrowd")
+# Check all available subsets (config names) of the dataset
+    print(sc.available_config_names("indspeech_teldialog_svcsr"))
+# Load the dataset using a specific config
+    dset = sc.load_dataset_by_config_name(config_name="<config_name>")
+```
+    
+    More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
+    
+
+## Dataset Homepage
+
+[https://github.com/s-sakti/data_indsp_teldialog_svcsr/](https://github.com/s-sakti/data_indsp_teldialog_svcsr/)
+
+## Dataset Version
 
-Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+Source: 1.0.0. SEACrowd: 2024.06.20.
+
+## Dataset License
+
+CC-BY-NC-SA-4.0
 
 ## Citation
 
+If you are using the **Indspeech Teldialog Svcsr** dataloader in your work, please cite the following:
 ```
 @inproceedings{sakti-icslp-2004,
     title = "Indonesian Speech Recognition for Hearing and Speaking Impaired People",
@@ -56,16 +79,14 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
     pages = "1037--1040"
     address = "Jeju Island, Korea"
 }
-```
-
-## License
 
-CC-BY-NC-SA-4.0
-
-## Homepage
 
-[https://github.com/s-sakti/data_indsp_teldialog_svcsr/](https://github.com/s-sakti/data_indsp_teldialog_svcsr/)
-
-### NusaCatalogue
+@article{lovenia2024seacrowd,
+    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
+    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
+    year={2024},
+    eprint={2406.10118},
+    journal={arXiv preprint arXiv: 2406.10118}
+}
 
-For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
+```