Update README.md

README.md

@@ -30,4 +30,154 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+license: apache-2.0
+task_categories:
+- text named entity recognition
+language:
+- gr
+tags:
+- finance
+- text
+pretty_name: Plutus Finner Text
+size_categories:
+- n<1K
 ---
+
+----------------------------------------------------------------
+# Dataset Card for Plutus Finner Text
+
+## Table of Contents
+
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://huggingface.co/datasets/TheFinAI/plutus-finner-text
+- **Repository:** https://huggingface.co/datasets/TheFinAI/plutus-finner-text
+- **Paper:** "Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance"
+- **Leaderboard:** https://huggingface.co/spaces/TheFinAI/Open-Greek-Financial-LLM-Leaderboard#/
+- **Model:** https://huggingface.co/spaces/TheFinAI/plutus-8B-instruct
+
+### Dataset Summary
+
+Plutus Finner Text is a dataset crafted for text named entity recognition (NER) within financial documents. Focusing on Greek language financial texts, this resource combines financial queries with answers, labels, and additional contextual text. The dataset is designed as a benchmark to enhance NER capabilities for extracting and categorizing textual entities in finance.
+
+### Supported Tasks
+
+- **Task:** Text Named Entity Recognition
+- **Evaluation Metrics:** Entity F1 Score
+
+### Languages
+
+- Greek
+
+## Dataset Structure
+
+### Data Instances
+
+Each instance in the dataset is composed of four fields:
+
+- **query:** A financial query or prompt that includes text potentially containing named entities.
+- **answer:** The expected answer associated with the query.
+- **label:** A sequence field containing labels which denote the named entities.
+- **text:** Additional context or commentary that clarifies the query.
+
+### Data Fields
+
+- **query:** String – Represents the financial query or prompt.
+- **answer:** String – The corresponding answer for the query.
+- **label:** Sequence of strings – Contains the named entity labels linked to each instance.
+- **text:** String – Provides supplementary context or details.
+
+### Data Splits
+
+The dataset is organized into three splits:
+
+- **Train:** 320 instances (649,136 bytes)
+- **Validation:** 80 instances (157,953 bytes)
+- **Test:** 100 instances (230,512 bytes)
+
+## Dataset Creation
+
+### Curation Rationale
+
+The Plutus Finner Text dataset was developed to support robust text-based named entity recognition in the financial domain, tailored specifically for Greek language texts. It aims to empower researchers and practitioners with a challenging benchmark for extracting and classifying named entities within financial documents.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The source data was derived from a diverse collection of Greek financial annual reports containing numeric information.
+
+#### Who are the Source Language Producers?
+
+Greek financial annual reports.
+
+### Annotations
+
+#### Annotation Process
+
+The annotation process involved domain experts in both finance and linguistics who manually identified and marked the relevant named entities within the financial queries and contextual text. Quality control was maintained to ensure high annotation consistency.
+
+#### Who are the Annotators?
+
+A collaboration between financial analysts, data scientists, and linguists was established to annotate the dataset accurately and reliably.
+
+### Personal and Sensitive Information
+
+This dataset has been curated to exclude any personally identifiable information (PII) and focuses solely on financial textual data and entity extraction.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+By advancing text NER within the Greek financial sector, this dataset supports improved information extraction and automated analysis—benefiting financial decision-making and research across the industry and academia.
+
+### Discussion of Biases
+
+- The domain-specific language and textual formats may limit generalizability outside Greek financial texts.
+- Annotation subjectivity could introduce biases in the identification of entities.
+- The dataset’s focused scope in finance may require further adaptation for use in broader contexts.
+
+### Other Known Limitations
+
+- Additional pre-processing might be needed to handle variations in text and entity presentation.
+- The dataset’s application is primarily limited to the financial domain.
+
+## Additional Information
+
+### Dataset Curators
+
+- The Fin AI Team
+
+### Licensing Information
+
+- **License:** Apache License 2.0
+
+### Citation Information
+
+If you use this dataset in your research, please consider citing it as follows:
+
+[Include appropriate citation details and DOI when available.]