Update README.md

README.md

@@ -31,14 +31,16 @@ configs:
 
 The Stanford Encyclopedia of Philosophy (SEP) is a dynamic reference work, including over 1,770 entries written by top scholars in the field of philosophy.
 This dataset contains the full text of all articles contained within the SEP.
-Every row possesses information related to the original page (URL), the subject of the page (Category),and the text of the page (Text). This dataset can be used for NLP applications like text mining, classification, and generation.
+Every row possesses information related to the original page (URL), the subject of the page (Category), and the text of the page (Text).
+This dataset can be used for NLP applications like text mining, classification, and generation.
 
 ## Dataset Details
 
+We will create a text dataset using the articles from the [`Stanford Encyclopedia of Philosophy](https://plato.stanford.edu/)
 
-- Dataset Name: [AiresPucrs/stanford-encyclopedia-philosophy]()
+- Dataset Name: [stanford-encyclopedia-philosophy]((https://huggingface.co/datasets/AiresPucrs/stanford-encyclopedia-philosophy))
 - Language:  English
-- Total Size: 182,531  demonstrations 
+- Total Size: 182,531 demonstrations 
 
 ## Contents
 
@@ -50,9 +52,11 @@ The dataset consists of a data frame with the following columns:
 
 ```bash
 {
-  "metadata": 0,
-  "text": "",
-  "category": 
+  "metadata": https://plato.stanford.edu/entries/abduction/,
+  "text": "See also the entry on scientific discovery, in particular the section on discovery as abduction.",
+  "category": abduction
+
+  ...
 }
 ```
 
@@ -69,6 +73,20 @@ dataset = load_dataset("AiresPucrs/stanford-encyclopedia-philosophy", split='tra
 
 The Stanford-encyclopedia-philosophy Dataset is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.
 
+# Cite as
+
+```
+@misc{teenytinycastle,
+    doi = {10.5281/zenodo.7112065},
+    url = {https://github.com/Nkluge-correa/TeenyTinyCastle},
+    author = {Nicholas Kluge Corr{\^e}a},
+    title = {Teeny-Tiny Castle},
+    year = {2024},
+    publisher = {GitHub},
+    journal = {GitHub repository}
+}
+```
+
 **Disclaimer**
 
 This dataset is provided as is, without any warranty or guarantee of its accuracy or suitability for any purpose.