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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- translation |
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- text-retrieval |
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language: |
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- fi |
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- gn |
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- ht |
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- id |
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- ja |
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- ka |
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- ro |
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- so |
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- sw |
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- ta |
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- th |
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- tr |
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- vi |
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- zh |
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tags: |
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- news |
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- multilingual |
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- machine-translated |
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- nllb |
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pretty_name: xMINDsmall |
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size_categories: |
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- 10K<n<100K |
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multilinguality: |
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- translation |
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- multilingual |
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- multi-parallel |
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source_datasets: |
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- MIND |
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configs: |
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- config_name: fin |
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data_files: |
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- split: train |
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path: data/fin/train.parquet.gzip |
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- split: dev |
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path: data/fin/dev.parquet.gzip |
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- config_name: grn |
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data_files: |
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- split: train |
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path: data/grn/train.parquet.gzip |
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- split: dev |
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path: data/grn/dev.parquet.gzip |
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- config_name: hat |
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data_files: |
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- split: train |
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path: data/hat/train.parquet.gzip |
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- split: dev |
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path: data/hat/dev.parquet.gzip |
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- config_name: ind |
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data_files: |
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- split: train |
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path: data/ind/train.parquet.gzip |
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- split: dev |
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path: data/ind/dev.parquet.gzip |
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- config_name: jpn |
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data_files: |
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- split: train |
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path: data/jpn/train.parquet.gzip |
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- split: dev |
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path: data/jpn/dev.parquet.gzip |
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- config_name: kat |
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data_files: |
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- split: train |
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path: data/kat/train.parquet.gzip |
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- split: dev |
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path: data/kat/dev.parquet.gzip |
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- config_name: ron |
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data_files: |
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- split: train |
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path: data/ron/train.parquet.gzip |
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- split: dev |
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path: data/ron/dev.parquet.gzip |
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- config_name: som |
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data_files: |
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- split: train |
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path: data/som/train.parquet.gzip |
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- split: dev |
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path: data/som/dev.parquet.gzip |
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- config_name: swh |
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data_files: |
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- split: train |
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path: data/swh/train.parquet.gzip |
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- split: dev |
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path: data/swh/dev.parquet.gzip |
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- config_name: tam |
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data_files: |
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- split: train |
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path: data/tam/train.parquet.gzip |
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- split: dev |
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path: data/tam/dev.parquet.gzip |
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- config_name: tha |
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data_files: |
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- split: train |
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path: data/tha/train.parquet.gzip |
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- split: dev |
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path: data/tha/dev.parquet.gzip |
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- config_name: tur |
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data_files: |
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- split: train |
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path: data/tur/train.parquet.gzip |
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- split: dev |
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path: data/tur/dev.parquet.gzip |
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- config_name: vie |
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data_files: |
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- split: train |
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path: data/vie/train.parquet.gzip |
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- split: dev |
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path: data/vie/dev.parquet.gzip |
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- config_name: zho |
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data_files: |
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- split: train |
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path: data/zho/train.parquet.gzip |
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- split: dev |
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path: data/zho/dev.parquet.gzip |
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--- |
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# Dataset Card for xMINDsmall |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Uses](#uses) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Source Data](#source-data) |
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- [Data Collection and Processing](#data-collection-and-processing) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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|
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## Dataset Description |
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|
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- **Homepage:** https://huggingface.co/datasets/aiana94/xMINDsmall |
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- **Repository:** https://github.com/andreeaiana/xMIND |
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- **Paper:** [MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation](https://arxiv.org/abs/2403.17876) |
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- **Point of Contact:** [Andreea Iana](https://andreeaiana.github.io/) |
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- **License:** [CC-BY-4.0-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
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### Dataset Summary |
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xMINDsmall is an open, large-scale multi-parallel news dataset for multi- and cross-lingual news recommendation. |
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It is derived from the English [MINDsmall](https://msnews.github.io/) dataset using open-source neural machine translation (i.e., [NLLB 3.3B](https://huggingface.co/facebook/nllb-200-3.3B)). |
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For the *large version* of the dataset, see [xMINDlarge](https://huggingface.co/datasets/aiana94/xMINDlarge). |
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### Uses |
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This dataset can be used for machine translation, text retrieval, or as a benchmark dataset for news recommendation. |
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### Languages |
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xMIND contains news translated into 14 linguistically and geographically diverse languages, with digital footprints of varying sizes. |
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| **Code** | **Language** | **Script** | **Macro-area** | **Family** | **Genus** | |
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|:----------|:------------------|:--------------|:------------------|:------------------|:--------------------------| |
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| FIN | Finnish | Latin | Eurasia | Uralic | Finnic | |
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| GRN | Guarani | Latin | South-America | Tupian | Maweti-Guarani | |
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| HAT | Haitian Creole | Latin | North-America | Indo-European | Creoles and Pidgins | |
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| IND | Indonesian | Latin | Papunesia | Austronesian | Malayo-Sumbawan | |
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| JPN | Japanese | Japanese | Eurasia | Japonic | Japanesic | |
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| KAT | Georgian | Georgian | Eurasia | Kartvelic | Georgian-Zan | |
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| RON | Romanian | Latin | Eurasia | Indo-European | Romance | |
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| SOM | Somali | Latin | Africa | Afro-Asiatic | Lowland East Cushitic | |
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| SWH | Swahili | Latin | Africa | Niger-Congo | Bantu | |
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| TAM | Tamil | Tamil | Eurasia | Dravidian | Dravidian | |
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| THA | Thai | Thai | Eurasia | Tai-Kadai | Kam-Tai | |
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| TUR | Turkish | Latin | Eurasia | Altaic | Turkic | |
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| VIE | Vietnamese | Latin | Eurasia | Austro-Asiatic | Vietic | |
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| ZHO | Mandarin Chinese | Han | Eurasia | Sino-Tibetan | Sinitic | |
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## Dataset Structure |
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### Data Instances |
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``` |
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>>> from datasets import load_dataset |
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>>> data = load_dataset('aiana94/xMINDsmall', 'ron') |
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# Please, specify the language code. |
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# A data point example is below: |
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{ |
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"nid": "N49265" |
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"title": "Aceste reţete cu sos de afine sunt perfecte pentru cina de Ziua Recunoştinţei.", |
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"abstract": "Nu vei mai vrea niciodată versiunea cumpărată din magazin." |
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} |
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``` |
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### |
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### Data Fields |
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- nid (string): news ID (same as in the [MIND dataset](https://msnews.github.io/)) |
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- title (string): news title |
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- abstract (string) : news abstract (optional) |
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### Data Splits |
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For all languages, there are two split: `train`, and `dev`. |
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|
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## Dataset Creation |
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### Source Data |
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The news were machine-translated from the [MINDsmall dataset](https://msnews.github.io/). |
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#### Data Collection and Processing |
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We translated the news articles using the open-source model [NLLB 3.3B](https://huggingface.co/facebook/nllb-200-3.3B). |
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For more details regarding the translation setup and data quality, we refer to the corresponding [paper](https://arxiv.org/abs/2403.17876). |
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#### Personal and Sensitive Information |
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The data is sourced from newspaper sources and contains mentions of public figures and individuals. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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Users should keep in mind that the dataset contains short news texts (e.g., news titles and abstracts), which might limit the applicability of the developed systems to other domains. |
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## Additional Information |
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### Licensing Information |
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The dataset is released under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/). |
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If you intend to use, adapt, or share xMINDsmall, particularly together with additional news and click behavior information from the original MIND dataset, please read and reference the [Microsoft Research License Terms](https://github.com/msnews/MIND/blob/master/MSR%20License_Data.pdf) of MIND. |
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### Citation Infomation |
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**BibTeX:** |
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```bibtex |
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@inproceedings{iana2024mind, |
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title={Mind your language: a multilingual dataset for cross-lingual news recommendation}, |
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author={Iana, Andreea and Glava{\v{s}}, Goran and Paulheim, Heiko}, |
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booktitle={Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval}, |
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pages={553--563}, |
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year={2024} |
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} |
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``` |
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Also consider citing the following: |
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|
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```bibtex |
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@inproceedings{wu2020mind, |
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title={Mind: A large-scale dataset for news recommendation}, |
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author={Wu, Fangzhao and Qiao, Ying and Chen, Jiun-Hung and Wu, Chuhan and Qi, Tao and Lian, Jianxun and Liu, Danyang and Xie, Xing and Gao, Jianfeng and Wu, Winnie and others}, |
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booktitle={Proceedings of the 58th annual meeting of the association for computational linguistics}, |
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pages={3597--3606}, |
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year={2020} |
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} |
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``` |
