File size: 1,545 Bytes
6bc075c f5aa930 6bc075c 051914f 6bc075c 051914f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
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 |