Reddit2Deezer: Conversational Music Recommendations from Reddit with Audio Embeddings

A conversational music-recommendation corpus mined from Reddit, with each recommended item resolved to a Deezer track or album. The dataset includes raw Reddit text and LLM-paraphrased augmentations, along with corresponding audio embeddings. It was created by McAuley-Lab and last updated on 2026-05-12.

Use Cases

• Train conversational recommendation systems based on real-world Reddit dialogues.
• Develop music retrieval models using the provided audio embeddings.
• Benchmark natural language understanding models on the LLM-paraphrased augmentations.
• Study the alignment between conversational text and audio representations in music recommendation.

Strengths

• Includes two versions of the data: raw Reddit text and LLM-paraphrased augmentations.
• Provides corresponding audio embeddings (laion/larger_clap_music) alongside the text data.
• Each recommended music item is resolved to a specific Deezer track or album.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Reddit and Deezer.

Collection Method

Mined from Reddit conversations, with items resolved to Deezer.

Freshness

Last updated 2026-05-12 15:40:25; freshness should be verified.