Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'theme', 'song_groups'}) and 4 missing columns ({'churches', 'song', 'rank', 'country'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ac0ai/worship-songs-2026/themes.csv (at revision 20bf588c52b80de67313b9d17ca680e0f80dd6dd), ['hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/charts_by_country.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/themes.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/top_artists.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/top_songs.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/worship_houses.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
theme: string
song_groups: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 507
to
{'country': Value('string'), 'rank': Value('int64'), 'song': Value('string'), 'churches': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'theme', 'song_groups'}) and 4 missing columns ({'churches', 'song', 'rank', 'country'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ac0ai/worship-songs-2026/themes.csv (at revision 20bf588c52b80de67313b9d17ca680e0f80dd6dd), ['hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/charts_by_country.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/themes.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/top_artists.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/top_songs.csv', 'hf://datasets/ac0ai/worship-songs-2026@20bf588c52b80de67313b9d17ca680e0f80dd6dd/worship_houses.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
country string | rank int64 | song string | churches int64 |
|---|---|---|---|
United States | 1 | Great Are You Lord | 115 |
United States | 2 | What A Beautiful Name | 105 |
United States | 3 | Goodness of God | 94 |
United States | 4 | Living Hope | 90 |
United States | 5 | Gratitude | 86 |
United States | 6 | Praise | 86 |
United States | 7 | King Of Kings | 83 |
United States | 8 | Graves Into Gardens (Live) | 78 |
United States | 9 | I Speak Jesus | 76 |
United States | 10 | O Praise The Name (Anástasis) | 75 |
United States | 11 | Same God | 73 |
United States | 12 | Holy Forever | 72 |
United Kingdom | 1 | King Of Kings | 51 |
United Kingdom | 2 | Great Are You Lord | 50 |
United Kingdom | 3 | What A Beautiful Name | 49 |
United Kingdom | 4 | O Praise The Name (Anástasis) | 44 |
United Kingdom | 5 | Goodness of God | 41 |
United Kingdom | 6 | Praise | 41 |
United Kingdom | 7 | Cornerstone | 40 |
United Kingdom | 8 | Gratitude | 40 |
United Kingdom | 9 | Living Hope | 40 |
United Kingdom | 10 | This Is Amazing Grace | 38 |
United Kingdom | 11 | 10,000 Reasons (Bless The Lord) | 37 |
United Kingdom | 12 | Yet Not I but Through Christ in Me | 37 |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
null | 1 | null | null |
null | 2 | null | null |
null | 3 | null | null |
null | 4 | null | null |
null | 5 | null | null |
null | 6 | null | null |
null | 7 | null | null |
null | 8 | null | null |
null | 9 | null | null |
null | 10 | null | null |
null | 11 | null | null |
null | 12 | null | null |
null | 13 | null | null |
null | 14 | null | null |
null | 15 | null | null |
null | 16 | null | null |
null | 17 | null | null |
null | 18 | null | null |
null | 19 | null | null |
null | 20 | null | null |
null | 21 | null | null |
null | 22 | null | null |
null | 23 | null | null |
null | 24 | null | null |
null | 25 | null | null |
null | 1 | Great Are You Lord | 194 |
null | 2 | What A Beautiful Name | 194 |
null | 3 | Goodness of God | 183 |
null | 4 | Praise | 181 |
null | 5 | King Of Kings | 165 |
null | 6 | Living Hope | 155 |
null | 7 | Gratitude | 153 |
null | 8 | O Praise The Name (Anástasis) | 151 |
null | 9 | I Speak Jesus | 147 |
null | 10 | O Come to the Altar (Live) | 124 |
null | 11 | Graves Into Gardens (Live) | 119 |
null | 12 | Holy Forever | 118 |
null | 13 | Cornerstone | 116 |
null | 14 | This Is Amazing Grace | 116 |
null | 15 | Who You Say I Am | 116 |
null | 16 | Yet Not I but Through Christ in Me | 115 |
null | 17 | Way Maker | 114 |
null | 18 | Battle Belongs | 110 |
null | 19 | House Of The Lord | 107 |
null | 20 | Raise a Hallelujah | 105 |
null | 21 | Who Else | 105 |
null | 22 | 10,000 Reasons (Bless The Lord) | 103 |
null | 23 | Same God | 103 |
null | 24 | Trust In God | 100 |
null | 25 | How Great Is Our God | 98 |
null | 26 | Firm Foundation (He Won’t) | 94 |
null | 27 | No Longer Slaves | 94 |
null | 28 | All Hail King Jesus | 92 |
null | 29 | Holy Forever | 91 |
null | 30 | Build My Life | 90 |
null | 31 | Do It Again | 89 |
null | 32 | Glorious Day | 89 |
null | 33 | Lord, I Need You | 89 |
null | 34 | Great Things | 86 |
null | 35 | Behold Our God | 85 |
null | 36 | Amazing Grace (My Chains Are Gone) | 84 |
null | 37 | Worthy | 83 |
null | 38 | Build My Life | 81 |
null | 39 | King of My Heart | 80 |
End of preview.
Worship Songs 2026 — church-playlist adoption data
What worship songs do churches actually sing? This dataset measures it from the real, church-curated Spotify worship playlists of 825 churches across 31 countries (9,720 worship songs, 36,593 song-to-church links). A church is counted as "singing" a song when the track appears in one of its worship playlists. No survey, no AI-inferred labels — direct observation of what churches chose.
Companion report + methodology: https://gospelchannel.com/worship-songs-2026 Live, always-current chart: https://playlist.church
Headline findings
- The two most widely sung songs tie: Great Are You Lord (All Sons & Daughters, Leslie Jordan, David Leonard) and What A Beautiful Name (Hillsong Worship, Brooke Ligertwood), each in 194 of 825 churches (~23.5%).
- Four worship houses dominate: Hillsong reaches 60% of churches, Elevation 55%, Bethel 50%, Passion 46%. 26 of the top 50 songs come from those four houses plus Phil Wickham. This independently echoes the "Big Four" concentration long observed on CCLI licensing charts, from a different data source.
- Lyrics skew hard to adoration: the most common themes are Adoration, Majesty, God's Presence, Grace.
Files
data/top_songs.csv # Most-sung songs, ranked by # of churches
data/top_artists.csv # Artist reach (distinct churches with >=1 song)
data/worship_houses.csv # Hillsong / Bethel / Elevation / Passion reach
data/charts_by_country.csv # US vs UK song charts
data/themes.csv # Lyrical theme frequency
data/snapshot.json # Machine-readable metadata + all of the above
Load it
import pandas as pd
songs = pd.read_csv("data/top_songs.csv")
print(songs.head(25))
Method, and what it does not cover
Source: the playlist.church corpus, built 2026-07-18 from public Spotify worship playlists of churches in the GospelChannel network. Denominator N = 825 churches with at least one worship-flagged song. Live and studio cuts of the same recording are merged; different lead-artist recordings of a song are counted separately.
Selection bias (important): every church here publishes a Spotify worship playlist, so the sample skews contemporary, English-speaking, and Protestant, with most churches in the US and UK. This is a map of the modern-worship repertoire — not a census of all churches, and not representative of gospel, traditional, or liturgical worship.
License: CC-BY-4.0. Corrections or catalog removals: press at gospelchannel.com.
- Downloads last month
- 63