Update README.md

README.md

@@ -1,12 +1,118 @@
 ---
 license: apache-2.0
-task_categories:
-- table-question-answering
-- question-answering
 language:
 - tr
-tags:
-- medical
-size_categories:
-- n<1K
----
+---
+# Dataset Card for MedData_tr-1
+
+<!-- Provide a quick summary of the dataset. -->
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+- **Language(s) (NLP):** Turkish
+- **License:** APACHE 2.0
+
+### Dataset Sources
+
+Memorial Health Library : https://www.memorial.com.tr/saglik-kutuphanesi
+
+- **Repository:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+
+[More Information Needed]
+
+## Dataset Structure
+
+**category** : The library was split into 4 categories 
+- Tanı ve Testler (Diagnoses and Tests)
+- Hastalıklar (Diseases)
+- Tedavi Yöntemleri (Treatment Methods)
+
+**topic** : The topic of the text content
+
+**text** : Full text
+
+**num_tokens** : Token count of the full text
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was created to increase the Turkish medical data in HuggingFace Datasets library.
+
+<!-- Motivation for the creation of this dataset. -->
+
+### Source Data
+Memorial is a hospital network based in Turkey. Their website provides a health library, which the contents were written by doctors who are experts in their fields.
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+
+#### Data Collection and Processing
+The contents were scraped using Python's BeautifulSoup library.
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+
+### Annotations
+Each text in the dataset was tokenized and counted afterwards.
+
+<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+
+#### Annotation process
+Tokenization was done using Tiktoken's encoding `cl100k_base`, used by `gpt-4-turbo`, `gpt-4`, `gpt-3.5-turbo`, etc.
+
+<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+
+[More Information Needed]
+
+
+#### Personal and Sensitive Information
+This data does not contain ant personal, sensitive or private information.
+
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+
+## Dataset Card Authors
+
+Zeynep Cahan
+
+## Dataset Card Contact
+
+[email protected]