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Duplicate from google/MusicCaps

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Co-authored-by: Vaibhav Srivastav <[email protected]>

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  2. README.md +174 -0
  3. musiccaps-public.csv +3 -0
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ # Audio files - compressed
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+ ---
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+ license:
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+ - cc-by-sa-4.0
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+ converted_from: kaggle
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+ kaggle_id: googleai/musiccaps
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+ task_categories:
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+ - text-to-speech
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+ language:
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+ - en
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+ ---
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+
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+ # Dataset Card for MusicCaps
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://kaggle.com/datasets/googleai/musiccaps
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+ - **Repository:**
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+ - **Paper:**
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+ - **Leaderboard:**
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ The MusicCaps dataset contains **5,521 music examples, each of which is labeled with an English *aspect list* and a *free text caption* written by musicians**. An aspect list is for example *"pop, tinny wide hi hats, mellow piano melody, high pitched female vocal melody, sustained pulsating synth lead"*, while the caption consists of multiple sentences about the music, e.g.,
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+ *"A low sounding male voice is rapping over a fast paced drums playing a reggaeton beat along with a bass. Something like a guitar is playing the melody along. This recording is of poor audio-quality. In the background a laughter can be noticed. This song may be playing in a bar."*
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+
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+ The text is solely focused on describing *how* the music sounds, not the metadata like the artist name.
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+
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+ The labeled examples are 10s music clips from the [**AudioSet**](https://research.google.com/audioset/) dataset (2,858 from the eval and 2,663 from the train split).
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+
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+ Please cite the corresponding paper, when using this dataset: http://arxiv.org/abs/2301.11325 (DOI: `10.48550/arXiv.2301.11325`)
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+
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+ ### Dataset Usage
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+
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+ The published dataset takes the form of a `.csv` file that contains the ID of YouTube videos and their start/end stamps. In order to use this dataset, one must download the corresponding YouTube videos and chunk them according to the start/end times.
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+
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+ The following repository has an example script and notebook to load the clips. The notebook also includes a Gradio demo that helps explore some samples: https://github.com/nateraw/download-musiccaps-dataset
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ [More Information Needed]
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ #### ytid
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+ YT ID pointing to the YouTube video in which the labeled music segment appears. You can listen to the segment by opening https://youtu.be/watch?v={ytid}&start={start_s}
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+
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+ #### start_s
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+ Position in the YouTube video at which the music starts.
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+
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+ #### end_s
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+ Position in the YouTube video at which the music end. All clips are 10s long.
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+
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+ #### audioset_positive_labels
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+ Labels for this segment from the AudioSet (https://research.google.com/audioset/) dataset.
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+
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+ #### aspect_list
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+ A list of aspects describing the music.
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+
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+ #### caption
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+ A multi-sentence free text caption describing the music.
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+
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+ #### author_id
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+ An integer for grouping samples by who wrote them.
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+
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+ #### is_balanced_subset
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+ If this value is true, the row is a part of the 1k subset which is genre-balanced.
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+
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+ #### is_audioset_eval
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+ If this value is true, the clip is from the AudioSet eval split. Otherwise it is from the AudioSet train split.
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+
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+ ### Data Splits
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+ ### Curation Rationale
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+ [More Information Needed]
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+
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+ ### Source Data
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+ #### Initial Data Collection and Normalization
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+ ### Annotations
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+ ### Dataset Curators
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+ This dataset was shared by [@googleai](https://ai.google/research/)
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+ ### Licensing Information
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+ The license for this dataset is cc-by-sa-4.0
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+ ### Citation Information
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+ ```bibtex
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+ [More Information Needed]
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+ ```
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+
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+ ### Contributions
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+
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+ [More Information Needed]
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