|
--- |
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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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- name: ner_tags |
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sequence: |
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class_label: |
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names: |
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'0': O |
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'1': B-PER |
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'2': I-PER |
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'3': B-ORG |
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'4': I-ORG |
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'5': B-LOC |
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'6': I-LOC |
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'7': B-TIME |
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'8': I-TIME |
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'9': B-TTL |
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'10': I-TTL |
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splits: |
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- name: train |
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num_bytes: 2138256 |
|
num_examples: 3465 |
|
download_size: 546138 |
|
dataset_size: 2138256 |
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configs: |
|
- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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task_categories: |
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- token-classification |
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language: |
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- am |
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size_categories: |
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- 1K<n<10K |
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--- |
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|
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# Amharic Named Entity Recognition Dataset |
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This dataset can be used to train models for Named Entity Recognition. |
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### Dataset Source |
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https://github.com/uhh-lt/ethiopicmodels/blob/master/am/data/NER/train.txt |
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### Finetuned Models |
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The following transformer models were finetuned using this dataset. The reported precision, recall, and f1 metrics are macro averages. |
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|Model|Size (# params)| Precision | Recall | F1 | |
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| --- | ------------- | --------- |------- | -- | |
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|bert-medium-amharic|40.5M|0.64|0.73|0.68| |
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|bert-small-amharic|27.8M|0.64|0.72|0.68| |
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|bert-mini-amharic|10.7M|0.60|0.67|0.64| |
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|bert-tiny-amharic|4.18M|0.50|0.59|0.54| |
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|xlm-roberta-base|279M|0.69|0.79|0.73| |
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|am-roberta|443M|0.67|0.72|0.69| |
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#### Code |
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In this repository, you can find notebooks for finetuning each of the above models using this dataset |
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- https://github.com/rasyosef/amharic-named-entity-recognition |
