Datasets:

mtg-upf
/

allmusiccaps

license: cc-by-nc-sa-4.0
license_link: LICENSE
task_categories:
  - text-to-audio
  - text-retrieval
language:
  - en
tags:
  - music
  - captioning
  - music-information-retrieval
  - clap
pretty_name: AllMusicCaps
size_categories:
  - 100K<n<1M
configs:
  - config_name: default
    data_files: allmusiccaps_v1.jsonl
extra_gated_heading: Access to AllMusicCaps dataset
extra_gated_prompt: >-
  AllMusicCaps is released for non-commercial research under CC BY-NC-SA 4.0. 

  You may use the dataset for academic and non-commercial research, and
  redistribute derivative works under the same license, with attribution to the
  AllMusicCaps paper.

  You may not use it for commercial purposes, attempt to identify or contact the
  authors of the underlying reviews, or redistribute it as if it were your own.

  The dataset contains no audio, only track identifiers and LLM-generated
  captions derived from professional AllMusic album reviews linked to YouTube
  links. Rights in the original review text remain with their respective owners;
  this release covers the derived captions and annotations only.

  If you recover audio via the youtube_id field, you do so under your own
  responsibility and subject to the terms of the source platform and the
  applicable copyright holders. The authors provide no audio and grant no rights
  to it.

  Captions are machine-generated from third-party editorial text and may contain
  errors or biases. The dataset is provided "as is", without warranty of any
  kind.

  Please cite the paper in any publication that uses this dataset.
extra_gated_fields:
  Company: text
  Country: text
  I agree to use this dataset for non-commercial purposes only: checkbox

AllMusicCaps

Music caption dataset built from professional AllMusic album reviews, cross-referenced with Discogs releases and YouTube tracks. Captions are generated in two complementary styles by a two-stage LLM pipeline.

Released with the ISMIR 2026 paper AllMusicCaps: Album Reviews as Complementary Supervision for Music CLAP. Code and models: github.com/MTG/allmusiccaps.

This dataset contains no audio, only identifiers and captions. Recover audio from the youtube_id field, or map the identifiers onto your own collection.

Versions

File	Rows	Use it for
`allmusiccaps_v1.jsonl`	540,454	Default. Same content, with `generated_quotes_captions` normalized to a consistent type.
`allmusiccaps_v0.jsonl`	540,454	Exact reproduction of the paper. Raw second-stage LLM output.

from datasets import load_dataset

ds = load_dataset("mtg-upf/allmusiccaps", split="train")  # v1

v0 cannot be read with load_dataset: its unstable caption type is exactly what Arrow rejects (that is why v1 exists). It is still valid JSONL, so read it line by line:

import json
from huggingface_hub import hf_hub_download

path = hf_hub_download("mtg-upf/allmusiccaps", "allmusiccaps_v0.jsonl", repo_type="dataset")
with open(path) as f:
    rows = [json.loads(line) for line in f]

Why there are two versions

v0 is the file the paper's models were trained on, kept unchanged so results stay reproducible.

In v0, generated_quotes_captions holds the second-stage LLM output as it came back. For 4,123 rows (0.8% of the dataset, 1.7% of rows that have quote captions) the model wrapped its answer in something other than a list of strings: a nested list, a dict keyed by attribute name, or an occasional number or null. The field therefore has an unstable type, and Arrow-backed readers reject the file outright:

JSON parse error: Column(/generated_quotes_captions/[]) changed from string to array in row 25

v1 fixes only the container, never the text:

v0	v1
`["a", "b"]`	`["a", "b"]` (unchanged)
`[["a", "b"]]`	`["a", "b"]`
`[{"description": "a"}]`	`["a"]`
`[{"mood": "x", "genre": "y"}]`	`["x", "y"]`
`[null]`, `[1]`, `[true]`	`null`

Placeholder values ("none", "not specified", "n/a") are dropped. Where a stray quotation mark split one caption across a JSON key and its value, the two halves are rejoined. Row order, row count, all identifier fields, and generated_structured_captions are byte-identical to v0; 384 rows whose only quote entries were non-text end up with null instead.

The transformation is reproducible: see scripts/preprocess_am_discotube/normalize_allmusiccaps_v1.py.

Schema

One row per (youtube_id, discogs_release_id) pair.

Field	Type	Description
`youtube_id`	string	YouTube video ID.
`discogs_release_id`	string	Discogs release ID.
`allmusic_album_id`	string	AllMusic album ID (`mwXXXXXXXXXX`).
`youtube_url`	string	`https://www.youtube.com/watch?v={youtube_id}`.
`discogs_release_url`	string	`https://www.discogs.com/release/{discogs_release_id}`.
`allmusic_review_link`	string	`https://www.allmusic.com/album/{allmusic_album_id}`.
`generated_quotes_captions`	list[string] or null	Quote-style captions extracted from the review by Qwen2.5-32B (chatgpt_v2 prompt, t=0.5). Each string is a self-contained caption sentence. In v0 this field is not consistently typed; see above.
`generated_structured_captions`	object or null	Structured per-attribute caption from LLaMA-3.3 (promptv3). Keys: `music_style`, `mood`, `tempo`, `energy`, `instrumentation`, `production_style`.

A row is emitted whenever at least one of the two caption sources is available; the missing source is set to null.

Statistics

	Rows
Total	540,454
Both caption sources (v0)	245,346
Structured captions only (v0)	295,096
Quotes only (v0)	12
Quote captions in v1	985,981 across 244,974 rows

Two caption styles

Quotes. An extractor LLM is restricted to factual descriptions of musical and acoustic characteristics (genre, production style, instrumentation, mood, rhythm) and explicitly excludes subjective opinions, biographical information, release dates, commercial performance, and album or artist names.

Structured. A single LLM receives all available metadata (AllMusic album review, YouTube description and tags, Discogs genre and style tags) and a fixed schema of musical attributes, and fills in each field, leaving it empty when no evidence is available.

Licensing

Released for non-commercial scientific research purposes only.

Data extracted from the AllMusic database is released for non-commercial scientific research purposes only. Any publication of results based on the data extracts of the AllMusic database must cite AllMusic as the source of the data.

Citation

@inproceedings{alonso2026allmusiccaps,
  title = {{AllMusicCaps}: Album Reviews as Complementary Supervision for Music {CLAP}},
  author = {Alonso-Jim{\'e}nez, Pablo and Lizarraga-Seijas, Xavier and Serra, Xavier and Bogdanov, Dmitry},
  booktitle = {International Society for Music Information Retrieval Conference (ISMIR)},
  year = {2026},
}