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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 1 new columns ({'text'}) and 2 missing columns ({'1', '0'}). This happened while the json dataset builder was generating data using hf://datasets/cmathhug/ai-gospel-music-dictionaries/adjectives.json (at revision dfd785216524a37d29552296e197e94240a811f3) 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast text: string -- schema metadata -- pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 192 to {'0': Value(dtype='string', id=None), '1': Value(dtype='int64', id=None)} 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 1420, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( 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 1 new columns ({'text'}) and 2 missing columns ({'1', '0'}). This happened while the json dataset builder was generating data using hf://datasets/cmathhug/ai-gospel-music-dictionaries/adjectives.json (at revision dfd785216524a37d29552296e197e94240a811f3) 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.
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string | 1
int64 |
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Genesis
| 50 |
Exodus
| 40 |
Leviticus
| 27 |
Numbers
| 36 |
Deuteronomy
| 34 |
Joshua
| 24 |
Judges
| 21 |
Ruth
| 4 |
1Samuel
| 31 |
2Samuel
| 24 |
1Kings
| 22 |
2Kings
| 25 |
1Chronicles
| 29 |
2Chronicles
| 36 |
Ezra
| 10 |
Nehemiah
| 13 |
Esther
| 10 |
Job
| 42 |
Psalms
| 150 |
Proverbs
| 31 |
Ecclesiastes
| 12 |
SongofSolomon
| 8 |
Isaiah
| 66 |
Jeremiah
| 52 |
Lamentations
| 5 |
Ezekiel
| 48 |
Daniel
| 12 |
Hosea
| 14 |
Joel
| 3 |
Amos
| 9 |
Obadiah
| 1 |
Jonah
| 4 |
Micah
| 7 |
Nahum
| 3 |
Habakkuk
| 3 |
Zephaniah
| 3 |
Haggai
| 2 |
Zechariah
| 14 |
Malachi
| 4 |
Matthew
| 28 |
Mark
| 16 |
Luke
| 24 |
John
| 21 |
Acts
| 28 |
Romans
| 16 |
1Corinthians
| 16 |
2Corinthians
| 13 |
Galatians
| 6 |
Ephesians
| 6 |
Philippians
| 4 |
Colossians
| 4 |
1Thessalonians
| 5 |
2Thessalonians
| 3 |
1Timothy
| 6 |
2Timothy
| 4 |
Titus
| 3 |
Philemon
| 1 |
Hebrews
| 13 |
James
| 5 |
1Peter
| 5 |
2Peter
| 3 |
1John
| 5 |
2John
| 1 |
3John
| 1 |
Jude
| 1 |
Revelation
| 22 |
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End of preview.
AI Gospel Music Dictionaries
A comprehensive collection of JSON dictionaries designed to support AI-powered gospel music and lyrics generation, with a focus on biblical and theological content.
Overview
This repository contains a curated set of dictionaries that can be used for:
- Music generation tasks
- Lyrics generation with biblical themes
- Instrument and genre specifications
- Biblical reference materials
Dictionaries
Biblical Content
bible_book_dict.json
- Dictionary of Bible booksbible_song_genre_dict.json
- Gospel music genre specificationssimple_bible_prompts_dict.json
- Basic biblical prompts for content generationBooks.json
- Detailed Bible book references
Musical Instruments
instrument_dict.json
- General instrument definitions- Instrument Family Dictionaries:
concerto_instrument_family_brass_dict.json
concerto_instrument_family_keys_dict.json
concerto_instrument_family_percussion_dict.json
concerto_instrument_family_string_dict.json
concerto_instrument_family_woodwinds_dict.json
Music Components
music_key_dict.json
- Musical keystempo_dict.json
- Tempo specificationssong_genre_dict.json
- Musical genresvocalists_dict.json
- Vocalist types
Percussion and Drums
drum_kits_dict.json
- Drum kit specificationsdrum_loop_genres_dict.json
- Drum loop genrespercussion_instruments_dict.json
- Percussion instrument definitionsanti_percussion_instruments_dict.json
- Non-percussion instrument definitions
Tags
- Suno
- Bible
- Theology
- BluegrassGospel
Size Category
- n<1K (Less than 1,000 entries per dictionary)
Task Categories
- Music Generation
- Lyrics Generation
License
CC0 1.0 Universal - No rights reserved. Attribution appreciated but not required.
King James Version (KJV) Bible references are in the Public Domain.
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