Datasets:

benjaminogbonna
/

nigerian_accented_english_dataset

@@ -1,12 +1,19 @@
 ---
 license: apache-2.0
 task_categories:
-- automatic-speech-recognition
-- text-to-speech
 language:
 - en
 - af
 pretty_name: Nigerian Accent English Speech Data 1.0
 size_categories:
 - 1K<n<10K
 extra_gated_prompt: By clicking on “Access repository” below, you also agree to not
@@ -50,7 +57,7 @@ dataset_info:
   dataset_size: 125822627.008
 ---
-# Nigerian Accent English Speech Data 1.0
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -61,16 +68,10 @@ dataset_info:
   - [Data Fields](#data-fields)
   - [Data Splits](#data-splits)
 - [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
   - [Personal and Sensitive Information](#personal-and-sensitive-information)
 - [Considerations for Using the Data](#considerations-for-using-the-data)
   - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
 - [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
   - [Contributions](#contributions)
 ## Dataset Description
@@ -80,7 +81,7 @@ dataset_info:
 ### Dataset Summary
-The Nigerian Accent Speech Data is a comprehensive dataset of about eight hours of audio recordings featuring speakers from various regions of Nigeria,
 capturing the rich diversity of Nigerian accents. This dataset is specifically curated to address the gap in speech and language
 datasets for African accents, making it a valuable resource for researchers and developers working on Automatic Speech Recognition (ASR),
 Speech-to-text (STT), Text-to-Speech (TTS), Accent recognition, and Natural language processing (NLP) systems.
@@ -180,8 +181,7 @@ Thus it is important to first query the sample index before the "audio" column,
 ### Data Splits
-The speech material has been subdivided into portions for dev, train and test.
-The dev, test, train are all data that has been reviewed, deemed of high quality and split into dev, test and train.
 ## Data Preprocessing Recommended by Hugging Face
@@ -193,7 +193,7 @@ In addition, the majority of training sentences end in punctuation ( . or ? or !
 ```python
 from datasets import load_dataset
-ds = load_dataset("benjaminogbonna/nigerian_accented_english_dataset", use_auth_token=True)
 def prepare_dataset(batch):
   """Function to preprocess the dataset with the .map method"""
   transcription = batch["sentence"]
@@ -212,52 +212,12 @@ def prepare_dataset(batch):
 ds = ds.map(prepare_dataset, desc="preprocess dataset")
 ```
-## Dataset Creation
-### Curation Rationale
-[Needs More Information]
-### Source Data
-#### Initial Data Collection and Normalization
-[Needs More Information]
-#### Who are the source language producers?
-[Needs More Information]
-### Annotations
-#### Annotation process
-[Needs More Information]
-#### Who are the annotators?
-[Needs More Information]
 ### Personal and Sensitive Information
 The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
-## Considerations for Using the Data
 ### Social Impact of Dataset
 The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
-### Discussion of Biases
-[More Information Needed]
-### Other Known Limitations
-[More Information Needed]
-## Additional Information
 ### Contributions
-[More Information Needed]

 ---
 license: apache-2.0
 task_categories:
+- automatic-speech-recognition (ASR)
+- text-to-speech (TTS)
+- speech-to-text (STT)
+- Natural Language Processing (NLP)
 language:
 - en
 - af
 pretty_name: Nigerian Accent English Speech Data 1.0
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
 size_categories:
 - 1K<n<10K
 extra_gated_prompt: By clicking on “Access repository” below, you also agree to not
   dataset_size: 125822627.008
 ---
+# Dataset Card for Nigerian Accent English Speech Data 1.0
 ## Table of Contents
 - [Dataset Description](#dataset-description)
   - [Data Fields](#data-fields)
   - [Data Splits](#data-splits)
 - [Dataset Creation](#dataset-creation)
   - [Personal and Sensitive Information](#personal-and-sensitive-information)
 - [Considerations for Using the Data](#considerations-for-using-the-data)
   - [Social Impact of Dataset](#social-impact-of-dataset)
 - [Additional Information](#additional-information)
   - [Contributions](#contributions)
 ## Dataset Description
 ### Dataset Summary
+The Nigerian Accent Speech Data is a comprehensive dataset of about 8 hours of audio recordings featuring speakers from various regions of Nigeria,
 capturing the rich diversity of Nigerian accents. This dataset is specifically curated to address the gap in speech and language
 datasets for African accents, making it a valuable resource for researchers and developers working on Automatic Speech Recognition (ASR),
 Speech-to-text (STT), Text-to-Speech (TTS), Accent recognition, and Natural language processing (NLP) systems.
 ### Data Splits
+The dataset has been subdivided into portions for dev, train and test.
 ## Data Preprocessing Recommended by Hugging Face
 ```python
 from datasets import load_dataset
+ds = load_dataset("benjaminogbonna/nigerian_accented_english_dataset")
 def prepare_dataset(batch):
   """Function to preprocess the dataset with the .map method"""
   transcription = batch["sentence"]
 ds = ds.map(prepare_dataset, desc="preprocess dataset")
 ```
 ### Personal and Sensitive Information
 The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
 ### Social Impact of Dataset
 The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
 ### Contributions