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README.md
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---
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inference:
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parameters:
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max_length: 60
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tags:
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- fine-tuned
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- information-retrieval
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---
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# DSI Search on Toy Dataset
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[![DOI](https://zenodo.org/badge/DOI/10.1145/3642970.3655837.svg)](https://doi.org/10.1145/3642970.3655837)
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This is a simplified demonstration of the search engine presented in _De-DSI: Decentralised Differentiable Search Index_.
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For this example, we fine-tuned the T5-small model on a [dataset](https://huggingface.co/tribler/dsi-search-on-toy-dataset/blob/main/dataset.csv) comprised of 526 distinct documents, including:
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- URLs to YouTube videos featuring movie trailers
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- Magnet links for accessing CC-licensed music
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- Bitcoin wallet addresses belonging to various artists
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The train data consisted solely of the respective titles of the documents (i.e., no access to ambiguous queries),
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and therefore does not nearly perform to the degree we think is generally possible.
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For demonstration purposes, however, this model can be tested with queries like _"spider man", "oceans 13", "sister staarlightt",_ or _"xileno bitcoin address"_ (to give some examples).
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