Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Multilinguality:
multilingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - expert-generated | |
| language: | |
| - am | |
| - ha | |
| - ig | |
| - lg | |
| - luo | |
| - pcm | |
| - rw | |
| - sw | |
| - wo | |
| - yo | |
| license: | |
| - unknown | |
| multilinguality: | |
| - multilingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - token-classification | |
| task_ids: | |
| - named-entity-recognition | |
| pretty_name: MasakhaNER | |
| dataset_info: | |
| - config_name: amh | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 639911 | |
| num_examples: 1750 | |
| - name: validation | |
| num_bytes: 92753 | |
| num_examples: 250 | |
| - name: test | |
| num_bytes: 184271 | |
| num_examples: 500 | |
| download_size: 571951 | |
| dataset_size: 916935 | |
| - config_name: hau | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 929848 | |
| num_examples: 1912 | |
| - name: validation | |
| num_bytes: 139503 | |
| num_examples: 276 | |
| - name: test | |
| num_bytes: 282971 | |
| num_examples: 552 | |
| download_size: 633372 | |
| dataset_size: 1352322 | |
| - config_name: ibo | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 749196 | |
| num_examples: 2235 | |
| - name: validation | |
| num_bytes: 110572 | |
| num_examples: 320 | |
| - name: test | |
| num_bytes: 222192 | |
| num_examples: 638 | |
| download_size: 515415 | |
| dataset_size: 1081960 | |
| - config_name: kin | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 878746 | |
| num_examples: 2116 | |
| - name: validation | |
| num_bytes: 120998 | |
| num_examples: 302 | |
| - name: test | |
| num_bytes: 258638 | |
| num_examples: 605 | |
| download_size: 633024 | |
| dataset_size: 1258382 | |
| - config_name: lug | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 611917 | |
| num_examples: 1428 | |
| - name: validation | |
| num_bytes: 70058 | |
| num_examples: 200 | |
| - name: test | |
| num_bytes: 183063 | |
| num_examples: 407 | |
| download_size: 445755 | |
| dataset_size: 865038 | |
| - config_name: luo | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 314995 | |
| num_examples: 644 | |
| - name: validation | |
| num_bytes: 43506 | |
| num_examples: 92 | |
| - name: test | |
| num_bytes: 87716 | |
| num_examples: 186 | |
| download_size: 213281 | |
| dataset_size: 446217 | |
| - config_name: pcm | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 868229 | |
| num_examples: 2124 | |
| - name: validation | |
| num_bytes: 126829 | |
| num_examples: 306 | |
| - name: test | |
| num_bytes: 262185 | |
| num_examples: 600 | |
| download_size: 572054 | |
| dataset_size: 1257243 | |
| - config_name: swa | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 1001120 | |
| num_examples: 2109 | |
| - name: validation | |
| num_bytes: 128563 | |
| num_examples: 300 | |
| - name: test | |
| num_bytes: 272108 | |
| num_examples: 604 | |
| download_size: 686313 | |
| dataset_size: 1401791 | |
| - config_name: wol | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 602076 | |
| num_examples: 1871 | |
| - name: validation | |
| num_bytes: 71535 | |
| num_examples: 267 | |
| - name: test | |
| num_bytes: 191484 | |
| num_examples: 539 | |
| download_size: 364463 | |
| dataset_size: 865095 | |
| - config_name: yor | |
| features: | |
| - name: id | |
| dtype: string | |
| - 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-DATE | |
| '8': I-DATE | |
| splits: | |
| - name: train | |
| num_bytes: 1016741 | |
| num_examples: 2171 | |
| - name: validation | |
| num_bytes: 127415 | |
| num_examples: 305 | |
| - name: test | |
| num_bytes: 359519 | |
| num_examples: 645 | |
| download_size: 751510 | |
| dataset_size: 1503675 | |
| config_names: | |
| - am | |
| - ha | |
| - ig | |
| - lg | |
| - luo | |
| - pcm | |
| - rw | |
| - sw | |
| - wo | |
| - yo | |
| # Dataset Card for MasakhaNER | |
| ## 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 | |
| - **Homepage:** [homepage](https://github.com/masakhane-io/masakhane-ner) | |
| - **Repository:** [github](https://github.com/masakhane-io/masakhane-ner) | |
| - **Paper:** [paper](https://arxiv.org/abs/2103.11811) | |
| - **Point of Contact:** [Masakhane](https://www.masakhane.io/) or didelani@lsv.uni-saarland.de | |
| ### Dataset Summary | |
| MasakhaNER is the first large publicly available high-quality dataset for named entity recognition (NER) in ten African languages. | |
| Named entities are phrases that contain the names of persons, organizations, locations, times and quantities. Example: | |
| [PER Wolff] , currently a journalist in [LOC Argentina] , played with [PER Del Bosque] in the final years of the seventies in [ORG Real Madrid] . | |
| MasakhaNER is a named entity dataset consisting of PER, ORG, LOC, and DATE entities annotated by Masakhane for ten African languages: | |
| - Amharic | |
| - Hausa | |
| - Igbo | |
| - Kinyarwanda | |
| - Luganda | |
| - Luo | |
| - Nigerian-Pidgin | |
| - Swahili | |
| - Wolof | |
| - Yoruba | |
| The train/validation/test sets are available for all the ten languages. | |
| For more details see https://arxiv.org/abs/2103.11811 | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| - `named-entity-recognition`: The performance in this task is measured with [F1](https://huggingface.co/metrics/f1) (higher is better). A named entity is correct only if it is an exact match of the corresponding entity in the data. | |
| ### Languages | |
| There are ten languages available : | |
| - Amharic (amh) | |
| - Hausa (hau) | |
| - Igbo (ibo) | |
| - Kinyarwanda (kin) | |
| - Luganda (kin) | |
| - Luo (luo) | |
| - Nigerian-Pidgin (pcm) | |
| - Swahili (swa) | |
| - Wolof (wol) | |
| - Yoruba (yor) | |
| ## Dataset Structure | |
| ### Data Instances | |
| The examples look like this for Yorùbá: | |
| ``` | |
| from datasets import load_dataset | |
| data = load_dataset('masakhaner', 'yor') | |
| # Please, specify the language code | |
| # A data point consists of sentences seperated by empty line and tab-seperated tokens and tags. | |
| {'id': '0', | |
| 'ner_tags': [B-DATE, I-DATE, 0, 0, 0, 0, 0, B-PER, I-PER, I-PER, O, O, O, O], | |
| 'tokens': ['Wákàtí', 'méje', 'ti', 'ré', 'kọjá', 'lọ', 'tí', 'Luis', 'Carlos', 'Díaz', 'ti', 'di', 'awati', '.'] | |
| } | |
| ``` | |
| ### Data Fields | |
| - `id`: id of the sample | |
| - `tokens`: the tokens of the example text | |
| - `ner_tags`: the NER tags of each token | |
| The NER tags correspond to this list: | |
| ``` | |
| "O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-DATE", "I-DATE", | |
| ``` | |
| In the NER tags, a B denotes the first item of a phrase and an I any non-initial word. There are four types of phrases: person names (PER), organizations (ORG), locations (LOC) and dates & time (DATE). | |
| It is assumed that named entities are non-recursive and non-overlapping. In case a named entity is embedded in another named entity usually, only the top level entity is marked. | |
| ### Data Splits | |
| For all languages, there are three splits. | |
| The original splits were named `train`, `dev` and `test` and they correspond to the `train`, `validation` and `test` splits. | |
| The splits have the following sizes : | |
| | Language | train | validation | test | | |
| |-----------------|------:|-----------:|-----:| | |
| | Amharic | 1750 | 250 | 500 | | |
| | Hausa | 1903 | 272 | 545 | | |
| | Igbo | 2233 | 319 | 638 | | |
| | Kinyarwanda | 2110 | 301 | 604 | | |
| | Luganda | 2003 | 200 | 401 | | |
| | Luo | 644 | 92 | 185 | | |
| | Nigerian-Pidgin | 2100 | 300 | 600 | | |
| | Swahili | 2104 | 300 | 602 | | |
| | Wolof | 1871 | 267 | 536 | | |
| | Yoruba | 2124 | 303 | 608 | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| The dataset was introduced to introduce new resources to ten languages that were under-served for natural language processing. | |
| [More Information Needed] | |
| ### Source Data | |
| The source of the data is from the news domain, details can be found here https://arxiv.org/abs/2103.11811 | |
| #### Initial Data Collection and Normalization | |
| The articles were word-tokenized, information on the exact pre-processing pipeline is unavailable. | |
| #### Who are the source language producers? | |
| The source language was produced by journalists and writers employed by the news agency and newspaper mentioned above. | |
| ### Annotations | |
| #### Annotation process | |
| Details can be found here https://arxiv.org/abs/2103.11811 | |
| #### Who are the annotators? | |
| Annotators were recruited from [Masakhane](https://www.masakhane.io/) | |
| ### Personal and Sensitive Information | |
| The data is sourced from newspaper source and only contains mentions of public figures or individuals | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| Users should keep in mind that the dataset only contains news text, which might limit the applicability of the developed systems to other domains. | |
| ## Additional Information | |
| ### Dataset Curators | |
| ### Licensing Information | |
| The licensing status of the data is CC 4.0 Non-Commercial | |
| ### Citation Information | |
| Provide the [BibTex](http://www.bibtex.org/)-formatted reference for the dataset. For example: | |
| ``` | |
| @article{Adelani2021MasakhaNERNE, | |
| title={MasakhaNER: Named Entity Recognition for African Languages}, | |
| author={D. Adelani and Jade Abbott and Graham Neubig and Daniel D'Souza and Julia Kreutzer and Constantine Lignos | |
| and Chester Palen-Michel and Happy Buzaaba and Shruti Rijhwani and Sebastian Ruder and Stephen Mayhew and | |
| Israel Abebe Azime and S. Muhammad and Chris C. Emezue and Joyce Nakatumba-Nabende and Perez Ogayo and | |
| Anuoluwapo Aremu and Catherine Gitau and Derguene Mbaye and J. Alabi and Seid Muhie Yimam and Tajuddeen R. Gwadabe and | |
| Ignatius Ezeani and Rubungo Andre Niyongabo and Jonathan Mukiibi and V. Otiende and Iroro Orife and Davis David and | |
| Samba Ngom and Tosin P. Adewumi and Paul Rayson and Mofetoluwa Adeyemi and Gerald Muriuki and Emmanuel Anebi and | |
| C. Chukwuneke and N. Odu and Eric Peter Wairagala and S. Oyerinde and Clemencia Siro and Tobius Saul Bateesa and | |
| Temilola Oloyede and Yvonne Wambui and Victor Akinode and Deborah Nabagereka and Maurice Katusiime and | |
| Ayodele Awokoya and Mouhamadane Mboup and D. Gebreyohannes and Henok Tilaye and Kelechi Nwaike and Degaga Wolde and | |
| Abdoulaye Faye and Blessing Sibanda and Orevaoghene Ahia and Bonaventure F. P. Dossou and Kelechi Ogueji and | |
| Thierno Ibrahima Diop and A. Diallo and Adewale Akinfaderin and T. Marengereke and Salomey Osei}, | |
| journal={ArXiv}, | |
| year={2021}, | |
| volume={abs/2103.11811} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@dadelani](https://github.com/dadelani) for adding this dataset. |