Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
multi-class-classification
Languages:
English
Size:
100K - 1M
ArXiv:
License:
minor fixes and adjustments of dataset card info
Browse files
README.md
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@@ -67,9 +67,9 @@ The dataset can be used as follows.
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from datasets import load_dataset
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```
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## Dataset Structure
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#### Who are the source language producers?
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The paragraphs were written by the authors of the arXiv papers. In file `license_info.jsonl` author and text licensing information can be found for all samples, An example is
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### Annotations
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Class labels were automatically determined ([see implementation](https://github.com/IllDepence/src/utility_scripts/ml_tasks_prep_data.py).
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## Considerations for Using the Data
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### Licensing information
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The dataset is released under the
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### Citation Information
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```
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from datasets import load_dataset
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imrad_data = load_dataset('saier/unarXive_imrad_clf')
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imrad_data = imrad_data.class_encode_column('label') # assign target label column
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imrad_data = imrad_data.remove_columns('_id') # remove sample ID column
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```
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## Dataset Structure
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#### Who are the source language producers?
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The paragraphs were written by the authors of the arXiv papers. In file `license_info.jsonl` author and text licensing information can be found for all samples, An example is shown below.
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```
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### Annotations
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Class labels were automatically determined ([see implementation](https://github.com/IllDepence/unarXive/blob/master/src/utility_scripts/ml_tasks_prep_data.py)).
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## Considerations for Using the Data
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### Licensing information
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The dataset is released under the Creative Commons Attribution-ShareAlike 4.0.
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### Citation Information
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