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README.md
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- monolingual
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task_categories:
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- token-classification
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dataset_info:
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features:
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- name: tokens
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sequence: string
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sequence: string
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sequence: string
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sequence: int32
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- name: train
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num_bytes: 4985685
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num_examples: 6084
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- name: dev
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num_examples: 676
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- name: test
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num_bytes: 1335125
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num_examples: 1685
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download_size: 1022314
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dataset_size: 6866184
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---
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# m1_fine_tuning_ocr_ptrn_cmbert_io
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## Introduction
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This dataset was used to
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It contains Paris trade directories entries from the 19th century.
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## Dataset parameters
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```python
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from datasets import load_dataset
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train_dev_test = load_dataset("nlpso/m1_fine_tuning_ocr_ptrn_cmbert_io")
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- monolingual
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task_categories:
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- token-classification
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---
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# m1_fine_tuning_ocr_ptrn_cmbert_io
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## Introduction
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This dataset was used to fine-tuned [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) for **nested NER task** using Independant NER layers approach [M1].
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It contains Paris trade directories entries from the 19th century.
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## Dataset parameters
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```python
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from datasets import load_dataset
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train_dev_test = load_dataset("nlpso/m1_fine_tuning_ocr_ptrn_cmbert_io")
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