Update README.md

README.md

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 ## Dataset Description
 
-- **Homepage:** 
-- **Repository:** 
-- **Paper:** 
-- **Leaderboard:** 
-- **Point of Contact:** 
+- **Homepage:** [BioCreative VII LitCovid Track](https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-5/)
+- **Paper:** [Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428574/)
 
 ### Dataset Summary
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+Topic annotation in LitCovid is a multi-label document classification task that assigns one or more labels to each article. There are 7 topic labels used in LitCovid: Treatment, Diagnosis, Prevention, Mechanism, Transmission, Epidemic Forecasting, and Case Report. These topics have been demonstrated to be effective for information retrieval and have also been used in many downstream applications related to COVID-19. 
 
-### Supported Tasks and Leaderboards
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-### Languages
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 ## Dataset Structure
 
-### Data Instances
+### Data Instances and Data Splits
 
-[More Information Needed]
+- the training set contains 24,960 articles from LitCovid;
+- the validation set contains 6,239 articles from LitCovid;
+- the test set contains 2,500 articles from LitCovid;
 
 ### Data Fields
 
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-### Data Splits
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-## Dataset Creation
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-### Curation Rationale
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-### Source Data
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-#### Initial Data Collection and Normalization
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-#### Who are the source language producers?
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-### Annotations
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-#### Annotation process
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-#### Who are the annotators?
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-### Personal and Sensitive Information
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-## Considerations for Using the Data
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-### Social Impact of Dataset
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-### Discussion of Biases
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-### Other Known Limitations
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-## Additional Information
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-### Dataset Curators
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-### Licensing Information
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-### Citation Information
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-### Contributions
+with the following fields retrieved from PubMed/LitCovid:
+• pmid: PubMed Identifier
+• journal: journal name
+• title: article title
+• abstract: article abstract
+• keywords: author-provided keywords
+• pub_type: article type, e.g., journal article
+• authors: author names
+• doi: Digital Object Identifier
+• label: annotated topics in list format indicating absence or presence of labels in the order 'Treatment,Diagnosis,Prevention,Mechanism,Transmission,Epidemic Forecasting,Case Report'
 
-[More Information Needed]