
# Dataset Card for [Dataset Name]

## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
  - [Table of Contents](#table-of-contents)
  - [Dataset Description](#dataset-description)
    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
    - [Languages](#languages)
  - [Dataset Structure](#dataset-structure)
    - [Data Splits](#data-splits)
  - [Dataset Creation](#dataset-creation)
    - [Source Data](#source-data)
    - [Annotations](#annotations)
      - [Annotation process](#annotation-process)




## Dataset Description
This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags

- **Point of Contact: [@ju-bezdek](https://github.com/ju-bezdek) **


### Supported Tasks and Leaderboards

NER

labels:

- 0: O
- 1: B-PER
- 2: I-PER
- 3: B-ORG
- 4: I-ORG
- 5: B-LOC
- 6: I-LOC
- 7: B-MISC
- 8: I-MISC

### Languages

sk

## Dataset Structure

### Data Splits

train, test, val

## Dataset Creation

### Source Data
https://huggingface.co/datasets/conll2003

### Annotations

#### Annotation process

- Machine Translation
- Machine pairing tags with reverse translation, and hardcoded rules (including phrase regex matching etc.)
- Manual annotation of records that couldn't be automatically matched

task_categories:other task_ids:named-entity-recognition task_ids:part-of-speech annotations_creators:machine-generated annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:extended|conll2003 language:sk license:unknown structure-prediction region:us
{"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["found"], "language": ["sk"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|conll2003"], "task_categories": ["other"], "task_ids": ["named-entity-recognition", "part-of-speech"], "pretty_name": "conll-2003-sk-ner", "tags": ["structure-prediction"]}
TAGS
#task_categories-other #task_ids-named-entity-recognition #task_ids-part-of-speech #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|conll2003 #language-Slovak #license-unknown #structure-prediction #region-us 


# Dataset Card for [Dataset Name]

## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
  - Table of Contents
  - Dataset Description
    - Supported Tasks and Leaderboards
    - Languages
  - Dataset Structure
    - Data Splits
  - Dataset Creation
    - Source Data
    - Annotations
      - Annotation process




## Dataset Description
This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags

- Point of Contact: @ju-bezdek 


### Supported Tasks and Leaderboards

NER

labels:

- 0: O
- 1: B-PER
- 2: I-PER
- 3: B-ORG
- 4: I-ORG
- 5: B-LOC
- 6: I-LOC
- 7: B-MISC
- 8: I-MISC

### Languages

sk

## Dataset Structure

### Data Splits

train, test, val

## Dataset Creation

### Source Data
URL

### Annotations

#### Annotation process

- Machine Translation
- Machine pairing tags with reverse translation, and hardcoded rules (including phrase regex matching etc.)
- Manual annotation of records that couldn't be automatically matched

# Dataset Card for [Dataset Name] ## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
  - Table of Contents
  - Dataset Description
    - Supported Tasks and Leaderboards
    - Languages
  - Dataset Structure
    - Data Splits
  - Dataset Creation
    - Source Data
    - Annotations
      - Annotation process ## Dataset Description
This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags

- Point of Contact: @ju-bezdek ### Supported Tasks and Leaderboards

NER

labels:

- 0: O
- 1: B-PER
- 2: I-PER
- 3: B-ORG
- 4: I-ORG
- 5: B-LOC
- 6: I-LOC
- 7: B-MISC
- 8: I-MISC ### Languages

sk ## Dataset Structure ### Data Splits

train, test, val ## Dataset Creation ### Source Data
URL ### Annotations #### Annotation process

- Machine Translation
- Machine pairing tags with reverse translation, and hardcoded rules (including phrase regex matching etc.)
- Manual annotation of records that couldn't be automatically matched
TAGS
#task_categories-other #task_ids-named-entity-recognition #task_ids-part-of-speech #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|conll2003 #language-Slovak #license-unknown #structure-prediction #region-us 
 # Dataset Card for [Dataset Name] ## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
  - Table of Contents
  - Dataset Description
    - Supported Tasks and Leaderboards
    - Languages
  - Dataset Structure
    - Data Splits
  - Dataset Creation
    - Source Data
    - Annotations
      - Annotation process ## Dataset Description
This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags

- Point of Contact: @ju-bezdek ### Supported Tasks and Leaderboards

NER

labels:

- 0: O
- 1: B-PER
- 2: I-PER
- 3: B-ORG
- 4: I-ORG
- 5: B-LOC
- 6: I-LOC
- 7: B-MISC
- 8: I-MISC ### Languages

sk ## Dataset Structure ### Data Splits

train, test, val ## Dataset Creation ### Source Data
URL ### Annotations #### Annotation process

- Machine Translation
- Machine pairing tags with reverse translation, and hardcoded rules (including phrase regex matching etc.)
- Manual annotation of records that couldn't be automatically matched
passage: TAGS
#task_categories-other #task_ids-named-entity-recognition #task_ids-part-of-speech #annotations_creators-machine-generated #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|conll2003 #language-Slovak #license-unknown #structure-prediction #region-us 
# Dataset Card for [Dataset Name]## Table of Contents
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
  - Table of Contents
  - Dataset Description
    - Supported Tasks and Leaderboards
    - Languages
  - Dataset Structure
    - Data Splits
  - Dataset Creation
    - Source Data
    - Annotations
      - Annotation process## Dataset Description
This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags

- Point of Contact: @ju-bezdek### Supported Tasks and Leaderboards

NER

labels:

- 0: O
- 1: B-PER
- 2: I-PER
- 3: B-ORG
- 4: I-ORG
- 5: B-LOC
- 6: I-LOC
- 7: B-MISC
- 8: I-MISC### Languages

sk## Dataset Structure### Data Splits

train, test, val## Dataset Creation### Source Data
URL### Annotations#### Annotation process

- Machine Translation
- Machine pairing tags with reverse translation, and hardcoded rules (including phrase regex matching etc.)
- Manual annotation of records that couldn't be automatically matched