Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Languages:
Armenian
Size:
< 1K
Tags:
named-entity-recognition
License:
File size: 3,535 Bytes
cad50fc d419761 c7b55b8 11c3390 c7b55b8 11c3390 c7b55b8 11c3390 c7b55b8 11c3390 c7b55b8 11c3390 c7b55b8 6fedc1d c7b55b8 11c3390 c7b55b8 4b04c7f c7b55b8 4b04c7f c7b55b8 4b04c7f c7b55b8 | 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 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 | ---
license: apache-2.0
task_categories:
- token-classification
language:
- hy
tags:
- named-entity-recognition
pretty_name: ArmTDP-NER
dataset_info:
homepage: https://github.com/myavrum/ArmTDP-NER
size_categories:
- n<1K
---
## Dataset Summary
ArmTDP-NER is a manually annotated named entity corpus for Modern Eastern Armenian. It contains 900 newspaper articles across various domains with 17,632 entity annotations. The annotation follows a modified OntoNotes 5.0 markup scheme adapted for Eastern Armenian-specific considerations, covering 18 named entity types.
## Dataset Structure
### Data Fields
The corpus is distributed as newline-delimited JSON (JSONL). Each line is one document with character-offset span annotations.
| Field | Type | Description |
|---|---|---|
| `id` | int | Document identifier |
| `text` | string | Raw document text |
| `labels` | list of `[start, end, label]` | Character-offset spans with string label names |
| `annotation_approver` | string | Annotator identifier |
### Annotation Scheme
The corpus uses 18 named entity types derived from the OntoNotes 5.0 scheme:
| Entity Type | Count | Description |
|---|---|---|
| PERSON | 3,502 | People, including fictional characters |
| ORGANIZATION | 3,388 | Companies, agencies, institutions |
| GPE | 3,290 | Countries, cities, states |
| DATE | 1,995 | Absolute or relative dates/periods |
| CARDINAL | 1,145 | Numerals not fitting other categories |
| NORP | 823 | Nationalities, religious or political groups |
| ORDINAL | 608 | Ordinal numbers |
| FACILITY | 601 | Buildings, airports, highways, bridges |
| LAW | 466 | Named documents made into laws |
| TIME | 405 | Times smaller than a day |
| QUANTITY | 343 | Measurements (weight, distance, etc.) |
| MONEY | 267 | Monetary values, including units |
| LOCATION | 166 | Non-GPE locations, water bodies, mountain ranges |
| WORK OF ART | 156 | Titles of books, songs, etc. |
| PERCENT | 112 | Percentages, including the % symbol |
| PRODUCT | 107 | Vehicles, weapons, foods, etc. |
| EVENT | 211 | Named hurricanes, battles, wars, sports events |
| LANGUAGE | 47 | Named languages |
**Total entity annotations: 17,632**
## Dataset Statistics
| Metric | Value |
|---|---|
| Documents | 900 |
| Entity types | 18 |
| Total annotations | 17,632 |
## Dataset Creation
### Source Data
Newspaper articles in Modern Eastern Armenian sourced from various domains.
### Annotations
Annotations were produced manually by the ArmTDP team. The annotation scheme adapts the OntoNotes 5.0 standard to account for Eastern Armenian-specific linguistic considerations.
## Additional Information
### Dataset Curators
Marat M. Yavrumyan and the ArmTDP team at Yerevan State University, in collaboration with Armenia National SDG Innovation Lab and UC Berkeley's Armenian Linguists network.
**Contact:** marat.yavrumyan@ysu.am
### Licensing Information
[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
### Citation Information
```bibtex
@misc{ArmTDP-NER,
title = {{ArmTDP-NER}: Eastern Armenian Named Entity Corpus, 1.0},
author = {Marat Yavrumyan},
year = {2020},
doi = {https://doi.org/10.5281/zenodo.17999570}
url = {https://github.com/myavrum/ArmTDP-NER},
note = {Corpus available from https://github.com/myavrum/ArmTDP-NER}
}
```
### Related Resources
A pre-trained NER model for Eastern Armenian trained on this corpus is available through the [Stanza](https://stanfordnlp.github.io/stanza/) framework. |