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Browse files- README.md +44 -0
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README.md
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---
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dataset_info:
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features:
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- name: query
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dtype: string
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- name: answer
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dtype: string
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splits:
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- name: train
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num_bytes: 30286
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num_examples: 100
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download_size: 24527
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dataset_size: 30286
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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tags:
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- sentence-transformers
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---
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# Dataset Card for gooaq with mined hard negatives
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This dataset is a collection of query-answer-negative triplets from the gooaq dataset. See [gooaq](https://huggingface.co/datasets/sentence-transformers/gooaq) for additional information. This dataset can be used directly with Sentence Transformers to train embedding models.
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## Mining Parameters
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The negative samples have been mined using the following parameters:
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- `range_min`: 10, i.e. we skip the 10 most similar samples
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- `range_max`: 20, i.e. we only look at the top 20 most similar samples
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- `margin`: 0.1, i.e. we require negative similarity + margin < positive similarity, so negative samples can't be more similar than the known true answer
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- `sampling_strategy`: random, i.e. whether to randomly sample from the candidate negatives or take the "top" negatives
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- `num_negatives`: 3, i.e. we mine 3 negatives per question-answer pair
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## Dataset Format
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- Columns: query, answer, negative
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- Column types: str, str, str
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- Example:
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```python
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{
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"query": "is toprol xl the same as metoprolol?",
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"answer": "Metoprolol succinate is also known by the brand name Toprol XL. It is the extended-release form of metoprolol. Metoprolol succinate is approved to treat high blood pressure, chronic chest pain, and congestive heart failure."
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}
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```
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:aea2c0b00cf4df17bbeaffcafb18e90b0a72808154f435783fc51f3eecbffed0
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size 24527
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