Datasets:
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README.md
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tags:
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- biology
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- medical
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size_categories:
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- 10K<n<100K
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# SourceData Dataset
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- **Leaderboard:**
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- **Point of Contact:** thomas.lemberger@embo.org, jorge.abreu@embo.org
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### Supported Tasks and Leaderboards
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Tags are provided as [IOB2-style tags](https://en.wikipedia.org/wiki/Inside%E2%80%93outside%E2%80%93beginning_(tagging)).
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`PANELIZATION`: figure captions (or figure legends) are usually composed of segments that each refer to one of several 'panels' of the full figure. Panels tend to represent results obtained with a coherent method and depicts data points that can be meaningfully compared to each other. `PANELIZATION` provide the start (B-PANEL_START) of these segments and allow to train for recogntion of the boundary between consecutive panel lengends.
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* **v2.0.2** - (Planned for Sept 2023) Data curated until 20.09.2023. This version will also include the patch for milti-word generic terms.
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* **v1.0.2** - Modification of the generic patch in v1.0.1 to include generic terms of more than a word.
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* **v1.0.1** - Added a first patch of generic terms. Terms such as cells, fluorescence, or animals where originally tagged, but in this version they are removed.
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* **v1.0.0** - First publicly available version of the dataset. Data curated until March 2023.
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tags:
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- biology
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- medical
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- NER
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- NEL
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size_categories:
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- 10K<n<100K
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pretty_name: SODA-NLP
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---
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# SourceData Dataset
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- **Leaderboard:**
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- **Point of Contact:** thomas.lemberger@embo.org, jorge.abreu@embo.org
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Note that we offer the `XML` serialized dataset. This includes all the data needed to perform NEL in SourceData.
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For reproducibility, for each big version of the dataset we provide `split_vx.y.z.json` files to generate the
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train, validation, test splits.
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### Supported Tasks and Leaderboards
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Tags are provided as [IOB2-style tags](https://en.wikipedia.org/wiki/Inside%E2%80%93outside%E2%80%93beginning_(tagging)).
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`PANELIZATION`: figure captions (or figure legends) are usually composed of segments that each refer to one of several 'panels' of the full figure. Panels tend to represent results obtained with a coherent method and depicts data points that can be meaningfully compared to each other. `PANELIZATION` provide the start (B-PANEL_START) of these segments and allow to train for recogntion of the boundary between consecutive panel lengends.
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* **v2.0.2** - (Planned for Sept 2023) Data curated until 20.09.2023. This version will also include the patch for milti-word generic terms.
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* **v1.0.2** - Modification of the generic patch in v1.0.1 to include generic terms of more than a word.
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* **v1.0.1** - Added a first patch of generic terms. Terms such as cells, fluorescence, or animals where originally tagged, but in this version they are removed.
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* **v1.0.0** - First publicly available version of the dataset. Data curated until March 2023.
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