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--- |
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license: cc-by-4.0 |
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task_categories: |
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- token-classification |
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language: |
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- de |
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--- |
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# Filtered GermEval 2014 NER Dataset |
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This repository hosts a filtered version of the great [GermEval 2014](https://sites.google.com/site/germeval2014ner/) NER Dataset. |
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After some analysis of the annotated examples in this dataset, it can be seen that the dataset is highly biased by Wikipedia articles. |
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# Dataset Stats |
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We present an overview of the top 10 top-level domains where annotations were retrieved from for training, development and test splits: |
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## Training Split |
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| TLD | Number of examples (Percentage) | |
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|:---------------------|:--------------------------------- | |
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| wikipedia.org | 12,007 (50.03%) | |
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| welt.de | 662 (2.76%) | |
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| spiegel.de | 512 (2.13%) | |
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| tagesspiegel.de | 424 (1.77%) | |
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| handelsblatt.com | 369 (1.54%) | |
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| fr-aktuell.de | 344 (1.43%) | |
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| sueddeutsche.de | 308 (1.28%) | |
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| abendblatt.de | 283 (1.18%) | |
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| berlinonline.de | 255 (1.06%) | |
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| szon.de | 249 (1.04%) | |
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## Development Split |
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| TLD | Number of examples (Percentage) | |
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|:---------------------|:--------------------------------- | |
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| wikipedia.org | 1,119 (50.86%) | |
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| welt.de | 46 (2.09%) | |
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| spiegel.de | 43 (1.95%) | |
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| fr-aktuell.de | 38 (1.73%) | |
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| tagesspiegel.de | 37 (1.68%) | |
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| handelsblatt.com | 35 (1.59%) | |
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| sueddeutsche.de | 28 (1.27%) | |
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| szon.de | 25 (1.14%) | |
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| feedsportal.com | 24 (1.09%) | |
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| berlinonline.de | 22 (1.0%) | |
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## Test Split |
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| TLD | Number of examples (Percentage) | |
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|:---------------------|:--------------------------------- | |
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| wikipedia.org | 2,547 (49.94%) | |
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| welt.de | 139 (2.73%) | |
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| spiegel.de | 88 (1.73%) | |
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| tagesspiegel.de | 86 (1.69%) | |
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| handelsblatt.com | 84 (1.65%) | |
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| sueddeutsche.de | 78 (1.53%) | |
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| abendblatt.de | 72 (1.41%) | |
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| fr-aktuell.de | 62 (1.22%) | |
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| berlinonline.de | 59 (1.16%) | |
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| szon.de | 57 (1.12%) | |
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## Summary |
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For each dataset split it can be seen, that the portion of annotated examples from Wikipedia are around 50%! |
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# Filtered Version & Motivation |
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We now create a Wikipedia-filtered-out version of the GermEval 2014 dataset. Here's one scenario for the main motivation: |
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Imagine you are pretraining a nice language model and you want to measure performance on GermEval 2014 for named entity recognition. Additionally, you want of course to |
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compare performance to other existing language models. |
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What would be the easiest way to get high performance on GermEval 2014 dataset? Yes, you can literally pretrain a language model on Wikipedia only (just as [I did](https://huggingface.co/gwlms))! |
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It will outperform models that are even pretrained on 100+ GB! See the great [ScandEval leaderboard](https://scandeval.com/german-nlu/) and have a look at the `gwlms` models. |
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However, the model performance for this pretrained model on Wikipedia-only will be worse on other downstream tasks such as Question Answering. |
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So this Wikipedia-filtered-out version could help to achieve better comparisons between LMs. |
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## Stats for Filtered Version |
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Additionally, we now present the stats for the filtered version of GermEval 2014 dataset: |
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### Training Split |
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| TLD | Number of examples (Percentage) | |
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|:---------------------|:--------------------------------- | |
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| welt.de | 662 (5.52%) | |
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| spiegel.de | 512 (4.27%) | |
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| tagesspiegel.de | 424 (3.54%) | |
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| handelsblatt.com | 369 (3.08%) | |
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| fr-aktuell.de | 344 (2.87%) | |
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| sueddeutsche.de | 308 (2.57%) | |
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| abendblatt.de | 283 (2.36%) | |
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| berlinonline.de | 255 (2.13%) | |
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| szon.de | 249 (2.08%) | |
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| n-tv.de | 195 (1.63%) | |
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### Development Split |
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| TLD | Number of examples (Percentage) | |
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|:---------------------|:--------------------------------- | |
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| welt.de | 46 (4.26%) | |
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| spiegel.de | 43 (3.98%) | |
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| fr-aktuell.de | 38 (3.52%) | |
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| tagesspiegel.de | 37 (3.42%) | |
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| handelsblatt.com | 35 (3.24%) | |
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| sueddeutsche.de | 28 (2.59%) | |
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| szon.de | 25 (2.31%) | |
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| feedsportal.com | 24 (2.22%) | |
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| berlinonline.de | 22 (2.04%) | |
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| rp-online.de | 21 (1.94%) | |
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### Test Split |
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| TLD | Number of examples (Percentage) | |
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|:---------------------|:--------------------------------- | |
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| welt.de | 139 (5.44%) | |
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| spiegel.de | 88 (3.45%) | |
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| tagesspiegel.de | 86 (3.37%) | |
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| handelsblatt.com | 84 (3.29%) | |
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| sueddeutsche.de | 78 (3.06%) | |
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| abendblatt.de | 72 (2.82%) | |
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| fr-aktuell.de | 62 (2.43%) | |
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| berlinonline.de | 59 (2.31%) | |
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| szon.de | 57 (2.23%) | |
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| feedsportal.com | 52 (2.04%) | |
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# Dataset Creation |
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We provide a notebook that shows how to recreate this filtered version of GermEval 2014. It can be found [here](https://huggingface.co/datasets/stefan-it/germeval14_no_wikipedia/blob/main/CreateDataset.ipynb). |
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Additionally, we provide a dataset loader for the awesome Flair library! |
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# Licence |
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We keep the original license of GermEval 2014 dataset ( CC-BY-4.0). |
