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README.md

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----
-annotations_creators:
-- expert-generated
-language:
-- et
-language_creators:
-- found
-license:
-- cc-by-nc-4.0
-multilinguality:
-- monolingual
-paperswithcode_id: noisyner
-pretty_name: NoisyNER
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-tags:
-- newspapers
-- 1997-2009
-task_categories:
-- token-classification
-task_ids:
-- named-entity-recognition
----
-
-# Dataset Card for NoisyNER
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Repository:** [Estonian NER corpus](https://doi.org/10.15155/1-00-0000-0000-0000-00073L), [NoisyNER dataset](https://github.com/uds-lsv/NoisyNER)
-- **Paper:** [Named Entity Recognition in Estonian](https://aclanthology.org/W13-2412/), [Analysing the Noise Model Error for Realistic Noisy Label Data](https://arxiv.org/abs/2101.09763)
-- **Dataset:** NoisyNER
-- **Domain:** News
-
-### Dataset Summary
-
-NoisyNER is a dataset for the evaluation of methods to handle noisy labels when training machine learning models. 
-
-- Entity Types: `PER`, `ORG`, `LOC`
-  
-It is from the NLP/Information Extraction domain and was created through a realistic distant supervision technique. Some highlights and interesting aspects of the data are:
-
-- Seven sets of labels with differing noise patterns to evaluate different noise levels on the same instances
-- Full parallel clean labels available to compute upper performance bounds or study scenarios where a small amount of gold-standard data can be leveraged
-- Skewed label distribution (typical for Named Entity Recognition tasks)
-- For some label sets: noise level higher than the true label probability
-- Sequential dependencies between the labels
-
-For more details on the dataset and its creation process, please refer to the original author's publication https://ojs.aaai.org/index.php/AAAI/article/view/16938 (published at AAAI'21).
-
-This dataset is based on the Estonian NER corpus. For more details see https://aclanthology.org/W13-2412/
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-The language data in NoisyNER is in Estonian (BCP-47 et)
-
-## Dataset Structure
-
-### Data Instances
-
-An example of 'train' looks as follows.
-```
-{
-  'id': '0',
-  'tokens': ['Tallinna', 'õhusaaste', 'suureneb', '.'],
-  'lemmas': ['Tallinn+0', 'õhu_saaste+0', 'suurene+b', '.'],
-  'grammar': ['_H_ sg g', '_S_ sg n', '_V_ b', '_Z_'],
-  'ner_tags': [5, 0, 0, 0]
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-- `id`: a `string` feature.
-- `tokens`: a `list` of `string` features.
-- `lemmas`: a `list` of `string` features.
-- `grammar`: a `list` of `string` features.
-- `ner_tags`: a `list` of classification labels (`int`). Full tagset with indices:
-
-```python
-{'O': 0, 'B-PER': 1, 'I-PER': 2, 'B-ORG': 3, 'I-ORG': 4, 'B-LOC': 5, 'I-LOC': 6}
-```
-
-### Data Splits
-
-The splits are the same across all configurations.
-
-|train|validation|test|
-|----:|---------:|---:|
-|11365|      1480|1433|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-Tkachenko et al (2013) collected 572 news stories published in the local online newspapers [Delfi](http://delfi.ee/) and [Postimees](http://postimees.ee/) between 1997 and 2009. Selected articles cover both local and international news on a range of topics including politics, economics and sports. The raw text was preprocessed using the morphological disambiguator t3mesta ([Kaalep and
-Vaino, 1998](https://www.cl.ut.ee/yllitised/kk_yhest_1998.pdf)) provided by [Filosoft](http://www.filosoft.ee/). The processing steps involve tokenization, lemmatization, part-of-speech tagging, grammatical and morphological analysis. 
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-According to Tkachenko et al (2013) one of the authors manually tagged the corpus and the other author examined the tags, after which conflicting cases were resolved.
-The total size of the corpus is 184,638 tokens. Tkachenko et al (2013) provide the following number of named entities in the corpus:
-
-|        | PER  | LOC  | ORG  | Total |
-|--------|------|------|------|-------|
-|    All | 5762 | 5711 | 3938 | 15411 |
-| Unique | 3588 | 1589 | 1987 | 7164  |
-
-Hedderich et al (2021) obtained the noisy labels through a distant supervision/automatic annotation approach. They extracted lists of named entities from Wikidata and matched them against words in the text via the ANEA tool ([Hedderich, Lange, and Klakow 2021](https://arxiv.org/abs/2102.13129)). They also used heuristic functions to correct errors caused by non-complete lists of entities,
-grammatical complexities of Estonian that do not allow simple string matching or entity lists in conflict with each other. For instance, they normalized the grammatical form of a word or excluded certain high false-positive words. They provide seven sets of labels that differ in the noise process. This results in 8 different configurations, when added to the original split with clean labels.
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-
-### Citation Information
-
-```
-@inproceedings{tkachenko-etal-2013-named,
-    title = "Named Entity Recognition in {E}stonian",
-    author = "Tkachenko, Alexander  and
-      Petmanson, Timo  and
-      Laur, Sven",
-    booktitle = "Proceedings of the 4th Biennial International Workshop on {B}alto-{S}lavic Natural Language Processing",
-    month = aug,
-    year = "2013",
-    address = "Sofia, Bulgaria",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/W13-2412",
-    pages = "78--83",
-}
-@article{Hedderich_Zhu_Klakow_2021, 
-    title={Analysing the Noise Model Error for Realistic Noisy Label Data}, 
-    author={Hedderich, Michael A. and Zhu, Dawei and Klakow, Dietrich},  
-    volume={35}, 
-    url={https://ojs.aaai.org/index.php/AAAI/article/view/16938}, 
-    number={9}, 
-    journal={Proceedings of the AAAI Conference on Artificial Intelligence},
-    year={2021}, 
-    month={May}, 
-    pages={7675-7684}, 
-}
-```
-
-### Contributions
-
-Thanks to [@phucdev](https://github.com/phucdev) for adding this dataset.