Update README.md

README.md

@@ -38,4 +38,138 @@ configs:
 size_categories:
 - 1K<n<10K
 - 10K<n<100K
----
+---
+
+# Dataset Card for "ILSUM-2.0"
+
+### Dataset Summary
+
+ILSUM-2.0 contains additional ~10K articles along with ILSUM-1.0 dataset. Along with Hindi, English, and Gujarati, which were part of ILSUM-1.0, Bengali is also introduced as part of ILSUM-20. dataset.
+
+The dataset for this task is built using articles and headline pairs from several leading newspapers of the country. We provide >=10,000 news articles for each language. The task is to generate a meaningful fixed length summary, either extractive or abstractive, for each article. While several previous works in other languages use news artciles - headlines pair, the current dataset poses a unique challenge of code-mixing and script mixing. It is very common for news articles to borrow phrases from english, even if the article itself is written in an Indian Language.
+
+Examples like these are a common occurence both in the headlines as well as in the articles.
+~~~
+- "IND vs SA, 5મી T20 તસવીરોમાં: વરસાદે વિલન બની મજા બગાડી" (India vs SA, 5th T20 in pictures: rain spoils the match)
+- "LIC के IPO में पैसा लगाने वालों का टूटा दिल, आई एक और नुकसानदेह खबर" (Investors of LIC IPO left broken hearted, yet another bad news).
+~~~
+### Languages
+- Hindi
+- Gujarati
+- Bengali
+- English
+
+### Data Fields
+~~~
+- id: Unique id of each datapoint
+- Article: Entire News article
+- Headline: Headline of News Article
+- Summary: Summary of News Article
+~~~
+
+### Data Splits
+Data for all four languages is divided into two splits train and test.
+
+### Load dataset using hf-dataset class
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ILSUM/ILSUM-2.0", "Hindi")
+# you can use any of the following config names as a second argument:
+# "English", "Hindi", "Gujarati", Bengali
+
+```
+
+### Citation Information
+If you are using the dataset or the models please cite the following paper
+~~~
+@article{satapara2023findings,
+  title={Key Takeaways from the Second Shared Task on Indian Language Summarization (ILSUM 2023).},
+  author={Satapara, Shrey and Mehta, Parth and Modha, Sandip and Ganguly, Debasis},
+  journal={Working Notes of FIRE},
+  pages={724-733},
+  year={2023}
+}
+~~~
+
+
+### Contributions
+- Shrey Satapara, Indian Institute Of Technology, Hyderabad, India
+- Sandip Modha, LDRP-ITR, Gandhinagar, India
+- Parth Mehta, Parmonic, USA
+- Debasis Ganguly, University Of Glasgow, UK
+<!--## Dataset Description
+
+- **Homepage:** 
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+
+
+
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]