Update README.md

README.md

@@ -1,107 +1,64 @@
----
-dataset_info:
-  features:
-  - name: id
-    dtype: int64
-  - name: image_id
-    dtype: string
-  - name: eng
-    dtype: string
-  - name: afr
-    dtype: string
-  - name: amh
-    dtype: string
-  - name: bem
-    dtype: string
-  - name: cjk
-    dtype: string
-  - name: dik
-    dtype: string
-  - name: dyu
-    dtype: string
-  - name: ewe
-    dtype: string
-  - name: fuv
-    dtype: string
-  - name: hau
-    dtype: string
-  - name: ibo
-    dtype: string
-  - name: kik
-    dtype: string
-  - name: kab
-    dtype: string
-  - name: kam
-    dtype: string
-  - name: kon
-    dtype: string
-  - name: kmb
-    dtype: string
-  - name: lua
-    dtype: string
-  - name: lug
-    dtype: string
-  - name: lin
-    dtype: string
-  - name: kin
-    dtype: string
-  - name: yor
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 12340971
-    num_examples: 8091
-  download_size: 5936673
-  dataset_size: 12340971
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-license: apache-2.0
-task_categories:
-- translation
----
-## AfriMMD - African Multilingual Multimodal Dataset (POC)
-AfriMMD is a multilingual dataset created to enhance linguistic diversity in AI, 
-focusing on African languages. This is a proof-of-concept experiment on the use 
-of multimodal datasets to represent African languages in AI. The dataset contains 
-translations of the captions in the widely-used Flickr8k dataset into 20 African 
-languages. The goal is to address the underrepresentation of African languages 
-in AI and foster more inclusive AI technologies. The image-text pairs have been 
-carefully translated into multiple African languages, providing an avenue 
-for advanced and inclusive AI development, particularly in multimodal tasks that 
-involve both text and images.
-
-Images associated with the dataset can manually be downloaded from [Github](https://github.com/jbrownlee/Datasets/releases/tag/Flickr8k)
-or [Kaggle](https://www.kaggle.com/datasets/adityajn105/flickr8k?select=Images)
-
-## Supported Languages
-Amharic (amh), Bemba (bem), Chokwe (cjk), Rek (dik), Dyula (dyu), Ewe (ewe), 
-Fulfulde (fuv), Hausa (hau), Igbo (ibo), Kikuyu (kik), Kabyle (kab), 
-Kamba (kam), Kikongo (kon), Kimbundu (kmb), LubaKasai (lua), Ganda (lug),
-Lingala (lin), Kinyarwanda (kin), Yoruba (yor)
-
-
-## Load Dataset
-```python
-from datasets import load_dataset
-
-dataset = load_dataset('AfriMM/AfriMMD')
-```
-
-## Applications
-- Multilingual multimodal tasks (eg: image captioning in African languages, pre-trained vision-language models, etc.)
-- Translation and language learning for supported African languages.
-- Research on cross-cultural understanding and representation in AI.
-
-
-## Citation
-```bibtex
-@dataset{afrimm2024,
-  author       = {AfriMM - ML Collective},
-  title        = {AfriMMD: Multimodal Dataset for African Languages},
-  year         = 2024,
-  url          = {https://huggingface.co/datasets/AfriMM/AfriMMD}
-}
-```
+---
+dataset_info:
+  features:
+  - name: id
+    dtype: int64
+  - name: image_id
+    dtype: string
+  - name: eng
+    dtype: string
+  - name: afr
+    dtype: string
+  - name: amh
+    dtype: string
+  - name: bem
+    dtype: string
+  - name: cjk
+    dtype: string
+  - name: dik
+    dtype: string
+  - name: dyu
+    dtype: string
+  - name: ewe
+    dtype: string
+  - name: fuv
+    dtype: string
+  - name: hau
+    dtype: string
+  - name: ibo
+    dtype: string
+  - name: kik
+    dtype: string
+  - name: kab
+    dtype: string
+  - name: kam
+    dtype: string
+  - name: kon
+    dtype: string
+  - name: kmb
+    dtype: string
+  - name: lua
+    dtype: string
+  - name: lug
+    dtype: string
+  - name: lin
+    dtype: string
+  - name: kin
+    dtype: string
+  - name: yor
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 12340971
+    num_examples: 8091
+  download_size: 5936673
+  dataset_size: 12340971
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+license: apache-2.0
+task_categories:
+- translation
+---