Datasets:
Update README.md
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README.md
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- split: test
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path: data/test-*
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- split: test
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path: data/test-*
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---
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# Crowdflower Search Results Relevance
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* Original source: https://www.kaggle.com/c/crowdflower-search-relevance/overview
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* More detailed version: https://data.world/crowdflower/ecommerce-search-relevance
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## Citation
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```
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@misc{crowdflower-search-relevance,
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author = {AaronZukoff, Anna Montoya, JustinTenuto, Wendy Kan},
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title = {Crowdflower Search Results Relevance},
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publisher = {Kaggle},
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year = {2015},
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url = {https://kaggle.com/competitions/crowdflower-search-relevance}
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}
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```
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## Code for generating data
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```python
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# ! unzip train.csv.zip
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# ! unzip test.csv.zip
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df_comp = pd.concat([
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pd.read_csv("./train.csv").assign(split="train"),
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pd.read_csv("./test.csv").assign(split="test"),
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])
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dataset = DatasetDict(
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train=Dataset.from_pandas(df_comp[df_comp["split"] == "train"].reset_index(drop=True)),
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test=Dataset.from_pandas(df_comp[df_comp["split"] == "test"].reset_index(drop=True)),
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)
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dataset.push_to_hub("napsternxg/kaggle_crowdflower_ecommerce_search_relevance")
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```
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