Update README.md

License: Apache-2.0
Task Categories: Sentiment Analysis
Tags: Sentiment, Italian, News Headlines
Size Categories: n<1K

Dataset Description:
General Description: This dataset contains Italian news headlines with their associated sentiment labels. The sentiment is annotated as 'positive', 'neutral', or 'negative' following each headline.
Purpose: To facilitate the development and benchmarking of sentiment analysis algorithms for the Italian language, focusing specifically on news headline text.

Dataset Structure:
Size and Scope: A curated set of Italian news headlines labeled with sentiment, ideal for sentiment analysis tasks on a small scale.
Data Fields: The dataset includes two fields per record: 'headline' which is the text of the news headline, and 'sentiment' which is the sentiment label assigned to the headline.
Examples:
- Headline: "mi fa sbagliare tutte le paroleeeee."
Sentiment: Negative
- Headline: "perfetto hai visto poi alla fine anche oggi e passato.."
Sentiment: Neutral
- Headline: "Rutelli: appoggio al governo #monti, sta lavorando bene #ballarò #osservatoriotivvù"
Sentiment: Positive

Use Cases:
Training Sentiment Analysis Models: The dataset can be employed to train machine learning models to detect sentiment in Italian-language text, with a particular emphasis on news media.
Linguistic Research: It can be used as a resource for computational linguistics research into sentiment analysis and its application in Italian news journalism.

README.md

@@ -1,3 +1,31 @@
 ---
 license: apache-2.0
+task_categories:
+  - sentiment-analysis
+tags:
+  - sentiment
+  - italian
+  - news headlines
+size_categories:
+  - "n<1K"
+
+Dataset Description:
+  General Description: "This dataset consists of Italian news headlines with annotated sentiments. Each headline is enclosed in square brackets followed by the sentiment label 'positive', 'neutral', or 'negative'."
+  Purpose: "The dataset is designed for training and evaluating sentiment analysis models on Italian-language text, particularly news headlines."
+
+Dataset Structure:
+  Size and Scope: "The dataset contains a small number of annotated headlines, suitable for initial model training or testing in sentiment analysis tasks."
+  Data Fields: "Each record includes a 'headline' text field and a 'sentiment' label."
+  Example: 
+    - headline: "[ mi fa sbagliare tutte le paroleeeee.]"
+      sentiment: "negative"
+    - headline: "[ perfetto hai visto poi alla fine anche oggi e passato..]"
+      sentiment: "neutral"
+    - headline: "[Rutelli: appoggio al governo #monti, sta lavorando bene #ballarò #osservatoriotivvù]"
+      sentiment: "positive"
+
+Use Cases:
+  Sentiment Analysis Model Training: "Researchers and practitioners can use this dataset to develop and train sentiment analysis models for the Italian language."
+  Academic Research: "The dataset can serve as a basis for studies in computational linguistics focusing on sentiment analysis in Italian news media."
+
 ---