Add: image and text edit

README.md

@@ -5,13 +5,20 @@ task_categories:
 language:
 - en
 tags:
+- financial-sentiment
 - finance
+- sentiment-analysis
+- nlp
 size_categories:
 - 100K<n<1M
 ---
 
 # Nosible Financial Sentiment Dataset
 
+<p align="center">
+  <img src="https://github.com/NosibleAI/nosible-py/blob/main/docs/_static/readme.png?raw=true"/>
+<p>
+
 ## What is it?
 The nosible financial sentiment dataset is a collection of **100k** cleaned and deduplicated financial news samples for financial sentiment classification. Each sample is labeled as **positive**, **negative**, or **neutral**. Financial sentiment is optimised for used in finance as it's sensitive to financial outlook rather than just emotional tone.
 
@@ -75,7 +82,7 @@ The dataset's label field was annotated from LLMs and refined using an active le
 The algorithm outline is as follows:
 
 1. Hand label a candidate set of ~200 samples to use as a test bed to refine the prompt used by the LLM labelers to classify the text.
-2. Label a set of 10k samples with LLM labelers:
+2. Label a set of 100k samples with LLM labelers:
     - x-ai/grok-4-fast
     - x-ai/grok-4-fast:thinking
     - google/gemini-2.5-flash
@@ -103,4 +110,10 @@ The dataset is released under the **Open Data Commons Attribution License (ODC-B
 - [NOSIBLE Inc](https://www.nosible.ai/) Team
 
 ## Citations
-Coming soon, we're working on a white paper.
+Coming soon, we're working on a white paper.
+
+## Contributors
+This dataset was developed and maintained by the following team:
+
+* [**Matthew Dicks**](https://www.linkedin.com/in/matthewdicks98/)
+* [**Simon van Dyk**](https://www.linkedin.com/in/simon-van-dyk/)