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--- |
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language: |
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- en |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 10M<n<100M |
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task_categories: |
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- feature-extraction |
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- sentence-similarity |
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pretty_name: Amazon Reviews 2018 |
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tags: |
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- sentence-transformers |
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dataset_info: |
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config_name: pair |
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features: |
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- name: title |
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dtype: string |
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- name: review |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 43047414971 |
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num_examples: 87877725 |
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download_size: 28943084017 |
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dataset_size: 43047414971 |
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configs: |
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- config_name: pair |
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data_files: |
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- split: train |
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path: pair/train-* |
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--- |
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# Dataset Card for Amazon Reviews 2018 |
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This dataset is a collection of title-review pairs collected from Amazon, as collected in [Ni et al.](https://cseweb.ucsd.edu//~jmcauley/pdfs/emnlp19a.pdf). See [Amazon Reviews 2018](https://nijianmo.github.io/amazon/index.html) for additional information. |
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This dataset can be used directly with Sentence Transformers to train embedding models. |
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## Dataset Subsets |
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### `pair` subset |
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* Columns: "title", "review" |
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* Column types: `str`, `str` |
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* Examples: |
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```python |
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{ |
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'title': "It doesn't fit my machine. I can't seem to ...", |
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'review': "It doesn't fit my machine. I can't seem to find the part for the Mr. Coffee Tea maker I have.", |
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} |
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``` |
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* Collection strategy: Reading the Amazon Reviews 2018 dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data). |
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* Deduplified: No |