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[Discussion] Any datasets for multi-modal learning between time series and text?

Multi-modal learning has traditionally focused on image/video vs text (e.g. image captioning, video description), but does anyone know good datasets for learning between text and time series? Example of time series: stock charts, power plant / wearable sensor readings, music etc.

I am looking for natural language human comments on these types of data. Examples I can think of are:
– stock charts <-> analyst notes
– power plant sensor data <-> operator notes
– wearable sensor data <-> coach notes or commentary
– music data <-> critics or teacher notes

I wonder if there are real-world datasets of these types?

Thanks.

submitted by /u/mistycheney
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.