pubmed_embedding / README.md
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---
license: mit
task_categories:
- text-generation
language:
- en
tags:
- pubmed embedding
size_categories:
- 100M<n<1B
---
# PubMed Embeddings Dataset
This dataset contains embeddings generated from the PubMed dataset, which can be found at https://huggingface.co/datasets/ncbi/pubmed. The embeddings were created using the NeuML/pubmedbert-base-embedding model.
## Dataset Structure
Each line in the dataset represents a single embedding in the form of a list. The format for each entry is defined as follows:
```python
node.id_ = f"node-{tpubmed}-{idx}"
node.metadata["title"] = ttitle
node.metadata["author"] = firstAuthor
node.metadata["pubmed"] = tpubmed
node.metadata["date"] = tdate
node.metadata["key"] = tpubmed
node.metadata["source"] = "Pubmed"
```
- `node.id_`: A unique identifier for each node, formatted as `node-{tpubmed}-{idx}`, where `tpubmed` is the PubMed ID and `idx` is the index of the entry.
- `node.metadata["title"]`: The title of the PubMed article.
- `node.metadata["author"]`: The first author of the PubMed article.
- `node.metadata["pubmed"]`: The PubMed ID of the article.
- `node.metadata["date"]`: The publication date of the article.
- `node.metadata["key"]`: The PubMed ID of the article (same as `node.metadata["pubmed"]`).
- `node.metadata["source"]`: The source of the data, which is always "Pubmed".
## Usage
To use this dataset, you can load it into your preferred data processing library or tool. Each line in the dataset represents a single embedding, and the metadata associated with each embedding can be accessed using the keys defined in the format above.
## Original Data Source
The original data used to create these embeddings can be found at https://huggingface.co/datasets/ncbi/pubmed. Please refer to the documentation and license of the original dataset for more information on its contents and usage.
## Embedding Model
The embeddings in this dataset were generated using the NeuML/pubmedbert-base-embedding model. For more information on the model and its performance, please refer to the model's documentation.
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).
## Uses
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### Direct Use
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## Dataset Structure
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## Dataset Creation
### Curation Rationale
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### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
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#### Who are the source data producers?
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### Annotations [optional]
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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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## Bias, Risks, and Limitations
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### Recommendations
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
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**BibTeX:**
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**APA:**
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## Glossary [optional]
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## More Information [optional]
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## Dataset Card Authors [optional]
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## Dataset Card Contact
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