Duplicate from LanceBunag/BalitaNLP

Co-authored-by: Lance <LanceBunag@users.noreply.huggingface.co>

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README.md

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+---
+language:
+- tl
+- fil
+pretty_name: Filipino multi-modal NLP dataset. Consists of 350k+ Filipino news articles
+  and associated images
+size_categories:
+- 100K<n<1M
+source_datasets:
+- original
+tags:
+- news
+task_categories:
+- text-to-image
+- image-to-text
+- text-generation
+- summarization
+- text-classification
+task_ids:
+- news-articles-headline-generation
+- news-articles-summarization
+dataset_info:
+- config_name: default
+  features:
+  - name: title
+    dtype: string
+  - name: body
+    sequence: string
+  - name: image
+    dtype: image
+  - name: website
+    dtype: string
+  - name: category_group
+    dtype: string
+  - name: category
+    dtype: string
+  - name: title_choice_first_paragraph
+    dtype: string
+  - name: title_choices
+    sequence: string
+  - name: title_choice_gold_idx
+    dtype: int32
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: url
+    dtype: string
+  - name: img_url
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 39449948960.917
+    num_examples: 281403
+  - name: validation
+    num_bytes: 5093856283.5
+    num_examples: 35175
+  - name: test
+    num_bytes: 4923596011.806
+    num_examples: 35177
+  download_size: 39815624261
+  dataset_size: 49467401256.223
+- config_name: no-image
+  features:
+  - name: title
+    dtype: string
+  - name: body
+    sequence: string
+  - name: category_group
+    dtype: string
+  - name: category
+    dtype: string
+  - name: website
+    dtype: string
+  - name: title_choice_first_paragraph
+    dtype: string
+  - name: title_choices
+    sequence: string
+  - name: title_choice_gold_idx
+    dtype: int32
+  - name: date
+    dtype: string
+  - name: author
+    dtype: string
+  - name: url
+    dtype: string
+  - name: img_url
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 578462672
+    num_examples: 281403
+  - name: validation
+    num_bytes: 74036069
+    num_examples: 35175
+  - name: test
+    num_bytes: 73488921
+    num_examples: 35177
+  download_size: 427915786
+  dataset_size: 725987662
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+- config_name: no-image
+  data_files:
+  - split: train
+    path: no-image/train-*
+  - split: validation
+    path: no-image/validation-*
+  - split: test
+    path: no-image/test-*
+---
+A Filipino multi-modal language dataset for text+visual tasks. Consists of 351,755 Filipino news articles (w/ associated images) gathered from Filipino news outlets.
+
+
+# Description
+
+Total # of articles: **351,755**
+
+80-10-10 split for training, validation, and testing.
+
+Dataset field descriptions:  
+
+```body           - Article text  
+title                        - Article title
+body                         - Article body. Separated into paragraphs
+image                        - Article image  
+website                      - Name of the news outlet  
+category_group               - Category grouped into 5 distinct classes. News, Sports, Entertainment, Crime, and Other  
+category                     - News category name given by the news outlet  
+date                         - Date published  
+author                       - Article author  
+url                          - URL of the article  
+img_url                      - URL of the article image  
+title_choice_first_paragraph - Opening paragraph of the article
+title_choices                - 4 possible titles, one of them being the true one
+title_choice_gold_idx        - Idx of the true title among the choices
+```
+
+title_choice_* fields are included to support the task of textual entailment — taking advantage of the "inverted pyramid" structure of news articles.
+
+# Dataset Usage
+Two dataset configurations: **default** (includes images) and **no-image** (excludes images)
+
+**Using** `datasets` **library**
+
+**default**
+```
+from datasets import load_dataset
+dset = load_dataset('LanceBunag/BalitaNLP', streaming=True) # streaming recommended due to size of dataset w/ images
+```
+
+**no-image**
+```
+from datasets import load_dataset
+dset = load_dataset('LanceBunag/BalitaNLP', 'no-image')
+```
+
+# Citation
+Published in [Buñag & Esquivel, 2023](https://storage.googleapis.com/public-kenricklancebunag/Transformer-based%20Conditional%20Language%20Models%20-%20IEOM%20Submission.pdf).
+If you are using **BalitaNLP** in your work, please cite the following:
+
+```
+@inproceedings{bunagtransformer,
+  author={Bunag, Kenrick Lance T and Esquivel, Rosanna A}
+  title={Transformer-Based Conditional Language Models to Generate Filipino News Articles},
+  year = {2023},
+  publisher = {IEOM Society International},
+  url = {https://ieomsociety.org/proceedings/2023manila/595.pdf},
+  booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management},
+  pages = {2231–2237},
+  numpages = {7},
+  location = {Manila, Philippines},
+}
+```

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