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license: bsd-3-clause-clear |
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# π’π¨π£ `Sciscinet-v2` |
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`Sciscinet-v2` is a refreshed update to [SciSciNet](https://doi.org/10.1038/s41597-023-02198-9) which is a large-scale, integrated dataset designed to support research in the science of science domain. It combines scientific publications with their network of relationships to funding sources, patents, citations, and institutional affiliations, creating a rich ecosystem for analyzing scientific productivity, impact, and innovation. [Know more](https://northwestern-cssi.github.io/sciscinet/). |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-1.png?raw=true" width="400"> |
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### About `Sciscinet-v2` |
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The newer version `Sciscinet-v2` is rebuilt using the latest snapshot from [OpenAlex](https://docs.openalex.org/). Here are some informative comparisons of `Sciscinet-v2` with `Sciscinet-v1`. |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-2.png?raw=true" width="400"> |
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### FAQ about `Sciscinet-v2` |
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**1. How does Sciscinet-v2 compare to the previous version ?** |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-4.png?raw=true" width="400"> |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-5.png?raw=true" width="400"> |
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**2. Does Sciscinet-v2 include precomputed metrics and linkages ?** |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-7.png?raw=true" width="400"> |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-6.png?raw=true" width="400"> |
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**3. Do you have precomputed embeddings for papers ?** |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-8.png?raw=true" width="400"> |
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Due to the sheer size of the embeddings (1.7TB), the chunked embeddings are hosted on Google cloud storage. |
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The easiest way to access them through the following command: |
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```shell |
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$ gsutil -m cp -r gs://sciscinet-neo/v2/embeddings/* ./path/to/your/directory/ |
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``` |
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**4. I donot see `sciscinet_paperdetails.parquet` or `sciscinet_papertitleabstract.parquet` on Huggingface, where can i find them ?** |
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`sciscinet_paperdetails.parquet` (117 GB) and `sciscinet_papertitleabstract.parquet` (92GB) are hosted on Google cloud storage and Big Query |
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exclusively because of the size of the files. You can simply access them using the command |
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```shell |
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$ gsutil ls gs://sciscinet-neo/v2 | grep -e "sciscinet_paperdetails" |
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gs://sciscinet-neo/v2/sciscinet_paperdetails.parquet |
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$ gsutil ls gs://sciscinet-neo/v2 | grep -e "sciscinet_papertitleabstract" |
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gs://sciscinet-neo/v2/sciscinet_papertitleabstract.parquet |
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``` |
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**5. I donot see `sciscinet_journals` similar to v1, where can i find journal information ?** |
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Since `Sciscinet-v2` is built on top of [OpenAlex](https://docs.openalex.org/), journal information is stored in the form of [Sources](https://docs.openalex.org/api-entities/sources). |
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You can find the same dynamic in the file `sciscinet_sources.parquet` and paper-source mapping in `sciscinet_papersources.parquet`. |
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### Access `Sciscinet-v2` |
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<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-9.png?raw=true" width="400"> |
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More information can be found on https://northwestern-cssi.github.io/sciscinet/. |