Update README.md

README.md

@@ -1,3 +1,74 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+tags:
+- audio
+- timbre
+- guitar
+pretty_name: Semantic Timbre Dataset
+---
+
+# Dataset Card for the Semantic Timbre Dataset
+
+The Semantic Timbre Dataset is a dataset of electric guitar audio samples labelled with 19 timbre descriptors, including Bright, Dark, Fuzzy, Crunchy, Crushed, Punchy, Soft, and others.
+
+## Dataset Details
+
+The Semantic Timbre Dataset contains 275,310 audio files of monophonic electric guitar sounds.
+These 275,310 audio files are grouped into 19 semantic timbre descriptors which describe the timbral characteristics of each sound.
+The 19 timbre descriptors are:
+
+- Crunchy
+- Crushed
+- Dirty
+- Fuzzy
+- Bright
+- Dark
+- Fat
+- Resonant
+- Thin
+- Punchy
+- Sharp
+- Soft
+- Smooth
+- Tight
+- Fluttery
+- Jittery
+- Shimmering
+- Stuttering
+- WahWah
+
+These timbre descriptors were derived from the most popularly-occurring timbre descriptor keywords appearing on the parameters of physical and virtual guitar effects units.
+
+Each timbre descriptor group contains 14,490 audio files that have been produced by pedal parameter effects from [Native Instrument's Guitar Rig Pro 7](https://www.native-instruments.com/en/products/komplete/guitar/guitar-rig-7-pro/) that correspond to the timbre descriptor.
+Each pedal parameter has been adjusted in increments of 5 from 0 to 100, resulting in each timbre descriptor group of 14,490 audio files being split further into 21 groups of 690 audio files that increase in timbre magnitude by increments of 5 from 0 to 100.
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+The Semantic Timbre Dataset can be used to train generative AI models to generate electric guitar sounds to specific timbral specification that can be described by the dataset's 19 semantic timbre descriptors.
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+The original, clean, unprocessed 690 audio recordings of Fender Stratocaster monophonic notes originally come from the [EGFxSet](https://egfxset.github.io) created by Hegel Pedroza, Irán Roman, and Gerardo Meza.
+
+#### Who are the annotators?
+
+<!-- This section describes the people or systems who created the annotations. -->
+
+[Joseph M. Cameron](https://josephcameron.info)
+
+#### Personal and Sensitive Information
+
+<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+The Semantic Timbre Dataset contains no personal or sensitive information.
+
+## Dataset Card Authors [optional]
+
+[Joseph M. Cameron](https://josephcameron.info)
+
+## Dataset Card Contact
+
+[Joseph M. Cameron](https://josephcameron.info)