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@@ -4,19 +4,29 @@ language:
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  license:
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  - unknown
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  size_categories:
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- - 10K<n<100K
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  task_categories:
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  - token-classification
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  tags:
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  - ner
 
 
 
 
 
 
 
 
 
 
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  ---
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  # wikineural_fr_prompt_ner
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  ## Summary
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- **wikineural_fr_prompt_ner** is a subset of the [**Dataset of French Prompts (DFP)**]().
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- It contains **X** rows that can be used for a name entity recognition task.
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- The original data (without prompts) comes from the dataset [wikineural](https://huggingface.co/datasets/tner/wikineural) by Tedeschi et al. where only the French part has been kept.
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  A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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@@ -59,9 +69,9 @@ wikineural['train']['tags'] = list(map(lambda x: x.replace("[","").replace("]","
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  # Splits
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- - train with X samples
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- - dev with Y samples
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- - test with Z samples
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  # How to use?
 
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  license:
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  - unknown
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  size_categories:
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+ - 1M<n<10M
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  task_categories:
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  - token-classification
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  tags:
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  - ner
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+ - DFP
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+ - french prompts
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+ annotations_creators:
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+ - found
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+ language_creators:
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+ - found
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+ multilinguality:
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+ - monolingual
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+ source_datasets:
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+ - wikineural
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  ---
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  # wikineural_fr_prompt_ner
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  ## Summary
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+ **wikineural_fr_prompt_ner** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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+ It contains **2,647,638** rows that can be used for a name entity recognition task.
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+ The original data (without prompts) comes from the dataset [wikineural](https://huggingface.co/datasets/tner/wikineural) by Tedeschi et al. where only the French part has been kept.
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  A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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  # Splits
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+ - `train` with 2,116,800 samples
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+ - `valid` with 264,600 samples
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+ - `test` with 266,238 samples
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  # How to use?