---
dataset_info:
  features:
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': O
          '1': B-PER
          '2': I-PER
          '3': B-ORG
          '4': I-ORG
          '5': B-LOC
          '6': I-LOC
          '7': B-TIME
          '8': I-TIME
          '9': B-TTL
          '10': I-TTL
  splits:
  - name: train
    num_bytes: 2138256
    num_examples: 3465
  download_size: 546138
  dataset_size: 2138256
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- token-classification
language:
- am
size_categories:
- 1K<n<10K
---

# Amharic Named Entity Recognition Dataset
This dataset can be used to train models for Named Entity Recognition.

### Dataset Source 

https://github.com/uhh-lt/ethiopicmodels/blob/master/am/data/NER/train.txt

### Finetuned Models

The following transformer models were finetuned using this dataset. The reported precision, recall, and f1 metrics are macro averages.

|Model|Size (# params)| Precision | Recall | F1 |
| --- | ------------- | --------- |------- | -- |
|bert-medium-amharic|40.5M|0.64|0.73|0.68|
|bert-small-amharic|27.8M|0.64|0.72|0.68|
|bert-mini-amharic|10.7M|0.60|0.67|0.64|
|bert-tiny-amharic|4.18M|0.50|0.59|0.54|
|xlm-roberta-base|279M|0.69|0.79|0.73|
|am-roberta|443M|0.67|0.72|0.69|

#### Code

In this repository, you can find notebooks for finetuning each of the above models using this dataset

- https://github.com/rasyosef/amharic-named-entity-recognition