---
annotations_creators:
- no-annotation
language:
- de
- fr
- el
- et
- fi
- hr
- ji
- pl
- ru
- sr
- sv
- uk
language_creators:
- machine-generated
multilinguality:
- multilingual
pretty_name: 'Europeana Newspapers '
size_categories:
- 1M<n<10M
source_datasets: []
tags:
- newspapers
- lam
- OCR
task_categories:
- text-generation
task_ids:
- language-modeling
---

# Dataset Card for Dataset Name


This dataset contains historic newspapers from [Europeana](https://pro.europeana.eu/page/iiif#download). In total the collection has ~32 Billion tokens. Documentation for this dataset is a WIP. 



This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description


- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

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### Direct Use

```python
from typing import List, Optional
from huggingface_hub import list_repo_files, hf_hub_url

def get_files_for_lang_and_years(languages: List[str], min_year:Optional[int]= None, max_year:Optional[int] = None):
    files = list_repo_files("biglam/europeana_newspapers",repo_type='dataset')
    parquet_files = [f for f in files if f.endswith(".parquet")]
    parquet_files_filtered_for_lang = [f for f in parquet_files if any(lang in f for lang in ['uk', 'fr'])]
    filtered_files = [f for f in parquet_files if 
                  (min_year is None or min_year <= int(f.split('-')[1].split('.')[0])) and 
                  (max_year is None or int(f.split('-')[1].split('.')[0]) <= max_year)]
    return [hf_hub_url("biglam/europeana_newspapers", f, repo_type='dataset') for f in filtered_files]
```

```python
ds = load_dataset("parquet", data_files=get_files_for_lang_and_years(['fr']), num_proc=4)
```

[More Information Needed]

### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

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### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Dataset Card Authors [optional]

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