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--- |
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annotations_creators: |
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- derived |
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language: |
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- de |
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license: other |
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multilinguality: monolingual |
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task_categories: |
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- text-retrieval |
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task_ids: |
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- document-retrieval |
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tags: |
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- mteb |
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- text |
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- retrieval |
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- sample |
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configs: |
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- config_name: corpus |
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data_files: |
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- split: train |
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path: corpus/train-* |
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- config_name: default |
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data_files: |
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|
- split: test |
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path: data/test-* |
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|
- config_name: queries |
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|
data_files: |
|
|
- split: train |
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|
path: queries/train-* |
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|
dataset_info: |
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|
- config_name: corpus |
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|
features: |
|
|
- name: _id |
|
|
dtype: string |
|
|
- name: title |
|
|
dtype: string |
|
|
- name: text |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_examples: 10 |
|
|
- config_name: default |
|
|
features: |
|
|
- name: query-id |
|
|
dtype: string |
|
|
- name: corpus-id |
|
|
dtype: string |
|
|
- name: score |
|
|
dtype: int64 |
|
|
splits: |
|
|
- name: test |
|
|
num_examples: 7 |
|
|
- config_name: queries |
|
|
features: |
|
|
- name: _id |
|
|
dtype: string |
|
|
- name: text |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_examples: 6 |
|
|
--- |
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# GermanLegal1Retrieval-sample |
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A sample dataset for German educational regulation retrieval evaluation. |
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## Task category |
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Retrieval |
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## Domains |
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Education, Legal |
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## Dataset Structure |
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The dataset follows the standard MTEB retrieval format: |
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- `corpus/corpus-00000-of-00001.parquet`: 10 documents with fields `_id`, `title`, `text` |
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- `queries/queries-00000-of-00001.parquet`: 6 queries with fields `_id`, `text` |
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- `data/test-00000-of-00001.parquet`: 7 relevance judgments with fields `query-id`, `corpus-id`, `score` |
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## Usage |
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You can evaluate an embedding model on this sample dataset using the following code: |
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```python |
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import mteb |
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# Load the dataset |
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task = mteb.get_task("GermanLegal1Retrieval") |
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evaluator = mteb.MTEB(tasks=[task]) |
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# Run evaluation with your model |
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model = mteb.get_model("your-model-name") |
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|
results = evaluator.run(model) # requires hf_token to run as it is a closed dataset |
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``` |
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## Sample Content |
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This sample dataset contains: |
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- 6 queries describing information needs |
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- 10 corresponding documents |
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- 7 relevance judgments connecting queries to documents |
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The data has been slightly modified for demonstration purposes while preserving the original structure and meaning. |
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## License |
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other |
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