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README.md
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** Aslan Noorghasemi
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- **Language(s) (NLP):** English
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- **License:** MIT
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<!-- This section describes suitable use cases for the dataset. -->
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Best for AI/ML practicing.
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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It can be used to predict cheese properties.
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[More Information Needed]
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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It has two splits and each split has cheese name and its properties. The numerical values are for 100 grams of cheese.
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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<!-- Motivation for the creation of this dataset. -->
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To practice model training.
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[More Information Needed]
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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The information may not be updated.
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** Aslan Noorghasemi
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- **Language(s) (NLP):** English
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- **License:** MIT
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<!-- This section describes suitable use cases for the dataset. -->
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Best for AI/ML practicing.
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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It can be used to predict cheese properties.
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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It has two splits and each split has cheese name and its properties. The numerical values are for 100 grams of cheese.
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## Dataset Creation
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### Curation Rationale
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<!-- Motivation for the creation of this dataset. -->
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To practice model training.
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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The information may not be updated.
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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