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Add dataset for testing
Browse files- README.md +3 -1
- app/constants.py +3 -0
README.md
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@@ -11,6 +11,7 @@ datasets:
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- mrshu/amazonreviews
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- stanfordnlp/sentiment140
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- stanfordnlp/imdb
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models:
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- spacy/en_core_web_sm
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---
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1. Clone the repository
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2. `cd` into the repository
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3. Run `just install` to install the dependencies
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4. Run `just
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### Datasets
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- [Sentiment140](https://www.kaggle.com/datasets/kazanova/sentiment140)
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- [Amazon Reviews](https://www.kaggle.com/datasets/bittlingmayer/amazonreviews)
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- [IMDB](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews)
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### Required tools
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- `just`
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- mrshu/amazonreviews
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- stanfordnlp/sentiment140
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- stanfordnlp/imdb
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- Sp1786/multiclass-sentiment-analysis-dataset
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models:
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- spacy/en_core_web_sm
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---
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1. Clone the repository
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2. `cd` into the repository
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3. Run `just install` to install the dependencies
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4. Run `just run --help` to see the available commands
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### Datasets
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- [Sentiment140](https://www.kaggle.com/datasets/kazanova/sentiment140)
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- [Amazon Reviews](https://www.kaggle.com/datasets/bittlingmayer/amazonreviews)
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- [IMDB](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews)
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- [Multiclass Sentiment Analysis](https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset) (Used only testing)
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### Required tools
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- `just`
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app/constants.py
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@@ -16,6 +16,9 @@ AMAZONREVIEWS_URL = "https://www.kaggle.com/datasets/bittlingmayer/amazonreviews
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IMDB50K_PATH = DATA_DIR / "imdb50k.csv"
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IMDB50K_URL = "https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews"
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CACHE_DIR.mkdir(exist_ok=True, parents=True)
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DATA_DIR.mkdir(exist_ok=True, parents=True)
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MODELS_DIR.mkdir(exist_ok=True, parents=True)
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IMDB50K_PATH = DATA_DIR / "imdb50k.csv"
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IMDB50K_URL = "https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews"
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TEST_DATASET_PATH = DATA_DIR / "test.csv"
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TEST_DATASET_URL = "https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset"
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CACHE_DIR.mkdir(exist_ok=True, parents=True)
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DATA_DIR.mkdir(exist_ok=True, parents=True)
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MODELS_DIR.mkdir(exist_ok=True, parents=True)
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