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  data_files:
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  - split: train
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  path: data/train-*
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ language:
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+ - en
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  ---
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+
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+ # Dataset Card for Dataset Name
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+ 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).
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+ ### Dataset Description
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+ Dataset Summary
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+ This dataset has been extracted from [Europe PMC (EPMC)](https://europepmc.org/), a free database offering comprehensive access to life sciences research literature. EPMC aggregates content from various sources, including PubMed, arXiv, and other repositories, and provides open access to millions of scientific articles. This dataset has been generated as part of a project collaboration between Europe PMC, [Open Targets](https://www.opentargets.org/), and [ChEMBL](https://www.ebi.ac.uk/chembl/)] at [EMBL-EBI](https://www.ebi.ac.uk/).
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+ ## Dataset Details
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+ The dataset focuses on mentions of cell lines and related entities in biomedical text, making it a valuable resource for advancing natural language processing (NLP) tasks in the biomedical domain.
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+ ### Uses: NLP Tasks Supported
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+ Named Entity Recognition (NER):
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+ Identify and classify mentions of cell lines or related entities appearing in biomedical contexts.
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+ Relationship Extraction:
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+ Extract relationships between cell lines and other biomedical entities, such as genes, diseases, or drugs.
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+ Text Classification:
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+ Classify sentences or articles based on their relevance to specific cell lines, particularly in cancer research or drug development.
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+ Sentiment Analysis:
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+ Analyze the sentiment or tone of texts discussing cell lines, such as the evaluation of experimental results (positive or negative).
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+ Information Retrieval:
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+ Develop systems to retrieve articles or specific mentions of cell lines based on user queries.
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+ Entity Linking:
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+ Link cell line mentions in text to standardized identifiers in cell line ontologies or databases.
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+ Question Answering (QA):
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+ Build systems that can answer specific questions about cell lines, such as their role in particular diseases or experiments.
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+ Topic Modeling:
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+ Analyze the dataset to uncover major themes or trends in research involving cell lines.
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+ Text Summarization:
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+ Automatically generate summaries of articles or sections discussing cell lines.
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+ - **Curated by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+
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+ ### Dataset Sources [optional]
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+ <!-- Provide the basic links for the dataset. -->
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+ ### Direct Use
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+ <!-- This section describes suitable use cases for the dataset. -->
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+ [More Information Needed]
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+ ### Out-of-Scope Use
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+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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+ [More Information Needed]
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+ ## Dataset Features
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+ Text: Full-text sentences or abstracts extracted from EPMC articles.
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+ Annotations: Mentions of cell lines and other related entities, along with their contextual roles.
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+ Metadata: Includes article identifiers (e.g., PMCID), titles, and publication types
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+ [More Information Needed]
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+ ## Dataset Creation
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+ ### Curation Rationale
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+ The dataset was curated to support research in biomedical NLP, focusing on cell lines—a critical component in experimental biology and drug discovery.
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+ [More Information Needed]
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+ ### Source Data
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+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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+ #### Data Collection and Processing
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+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+ ## Citation [optional]
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+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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+ **BibTeX:**
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+ [More Information Needed]
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+ **APA:**
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+ [More Information Needed]
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+ ## Glossary [optional]
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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+ [More Information Needed]
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+ ## More Information [optional]
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+ [More Information Needed]
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+ ## Dataset Card Authors [optional]
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+ [More Information Needed]
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+ ## Dataset Card Contact
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+ [More Information Needed]