Update README.md

README.md

@@ -1,10 +1,168 @@
 ---
-license: mit
-task_categories:
-- question-answering
 language:
 - sr
-pretty_name: SQuaD Serbian
+license: cc-by-sa-4.0
+pretty_name: "Serbian SQuAD"
 size_categories:
-- 10K<n<100K
----
+- 100K<n<1M
+source_datasets:
+- rajpurkar/squad
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
+---
+
+# Dataset Card for Serbian SQuAD
+
+## Dataset Description
+
+- **Repository:** [Hugging Face Dataset](https://huggingface.co/datasets/smartcat/squad_sr)
+- **Point of Contact:** [SmartCat]
+- **Original Data:** https://huggingface.co/datasets/rajpurkar/squad
+- ** Original data in Serbian: https://www.kaggle.com/datasets/aleksacvetanovic/squad-sr
+
+### Dataset Summary
+
+This dataset is an automatic Serbian translation of the Stanford Question Answering Dataset (SQuAD) 1.1. The original SQuAD, developed by Stanford, is a reading comprehension dataset consisting of questions posed by crowdworkers on a set of Wikipedia articles. The answer to every question is a segment of text (span) from the corresponding reading passage, or the question might be unanswerable. It's the largest Serbian QA dataset with more than 87K samples in both Cyrillic and Latin.
+
+The translation was performed automatically using the GPT-3.5-turbo-0125 model, preserving the structure and format of the original dataset while providing content in Serbian.
+
+### Supported Tasks and Leaderboards
+
+- **Extractive Question Answering**: The dataset can be used to train and evaluate models for extractive question answering tasks in Serbian.
+
+### Languages
+
+The dataset is in Serbian (sr). The original dataset was in English (en).
+
+## Dataset Structure
+
+### Data Instances
+
+Each instance in the dataset contains:
+- A passage of text from a Wikipedia article (context)
+- A question about that passage
+- The answer to the question, which is a span of text from the passage
+
+### Data Fields
+
+- `id`: A string identifier for the example
+- `title`: The title of the Wikipedia article
+- `context`: The passage of text (paragraph from Wikipedia)
+- `question`: The question posed about the context
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was created to provide a resource for Serbian language question answering tasks, leveraging the high-quality structure and content of the original SQuAD dataset.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The source data is the SQuAD 1.1 dataset, which contains 100,000+ question-answer pairs on 500+ articles. The original data was retrieved from: https://huggingface.co/datasets/rajpurkar/squad
+
+#### Who are the source language producers?
+
+The original questions were posed by crowdworkers on English Wikipedia articles. The answers were extracted from these articles.
+
+### Annotations
+
+#### Annotation process
+
+The original English dataset was automatically translated to Serbian using the GPT-3.5-turbo-0125 model.
+
+#### Who are the annotators?
+
+The translation was performed automatically by an AI model, without human intervention. The original annotations were created by crowdworkers.
+
+### Personal and Sensitive Information
+
+The dataset is based on Wikipedia articles and should not contain personal or sensitive information. However, as it's an automatic translation of web content, users should be aware of potential inaccuracies or unintended content.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset contributes to the development of question answering systems for the Serbian language, potentially improving access to information and language technologies for Serbian speakers.
+
+### Discussion of Biases
+
+The dataset may inherit biases present in the original SQuAD dataset, including biases in Wikipedia content and in the questions posed by crowdworkers. Additionally, the automatic translation process may introduce its own biases or errors.
+
+### Other Known Limitations
+
+- The quality of the Serbian translations has not been manually verified and may contain errors.
+- The automatic translation process may not capture nuances or context-specific meanings from the original text.
+- The dataset maintains the same limitations as the original SQuAD 1.1, such as the potential for artificial questions that might not reflect real-world information-seeking behavior.
+
+## Additional Information
+
+### Dataset Curators
+
+[Your Name or Organization]
+
+### Licensing Information
+
+This dataset is licensed under CC-BY-SA-4.0, following the licensing of the original SQuAD dataset.
+
+### Citation Information
+
+If you use this dataset, please cite both the original SQuAD dataset and this Serbian translation:
+
+```
+
+
+@article
+
+{rajpurkar2016squad,
+title={Squad: 100,000+ questions for machine comprehension of text},
+author={Rajpurkar, Pranav and Zhang, Jian and Lopyrev, Konstantin and Liang, Percy},
+journal={arXiv preprint arXiv:1606.05250},
+year={2016}
+}
+
+
+
+@misc
+
+{cvetanović2024syntheticdatasetcreationfinetuning,
+title={Synthetic Dataset Creation and Fine-Tuning of Transformer Models for Question Answering in Serbian},
+author={Aleksa Cvetanović and Predrag Tadić},
+year={2024},
+eprint={2404.08617},
+archivePrefix={arXiv},
+primaryClass={cs.CL},
+url={https://arxiv.org/abs/2404.08617},
+}
+
+
+
+@misc
+
+{serbian-squad,
+title={Serbian SQuAD Dataset},
+author={[Your Name]},
+year={2024},
+howpublished={\url{https://huggingface.co/datasets/your-username/serbian-squad}}
+}
+```
+
+### Contributions
+
+Thanks to Stanford for creating the original SQuAD dataset.
+Thank you to Aleksa Cvetanovic and Predrag Tadic for translating SQuAD to Serbian and uploading the dataset to Kaggle.
+
+## Loading the Dataset
+
+Here's a Python code example to load the dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("smartcat/squad_sr")
+
+```