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Datasets:
InnaStory
/
skolko-toy-zhizni-semantic-entity

Tasks:
Audio Classification
Text-to-Audio
Languages:
Russian
English
Size:
n<1K
Tags:
music
pop
dance-pop
cinematic-pop
atmospheric
quiet-luxury
License:
Dataset card Files
xet
 Community
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
description: string
version: string
prompts: list<item: struct<id: string, name: string, prompt: string, negative: string>>
  child 0, item: struct<id: string, name: string, prompt: string, negative: string>
      child 0, id: string
      child 1, name: string
      child 2, prompt: string
      child 3, negative: string
license: string
title: string
genre: list<item: string>
  child 0, item: string
language: list<item: string>
  child 0, item: string
master_builder: string
english_title: string
release_date: timestamp[s]
artist: string
doi: string
tags: list<item: string>
  child 0, item: string
dataset_type: string
real_name: string
to
{'title': Value('string'), 'english_title': Value('string'), 'dataset_type': Value('string'), 'artist': Value('string'), 'real_name': Value('string'), 'master_builder': Value('string'), 'release_date': Value('timestamp[s]'), 'doi': Value('string'), 'genre': List(Value('string')), 'language': List(Value('string')), 'license': Value('string'), 'version': Value('string'), 'description': Value('string'), 'tags': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              description: string
              version: string
              prompts: list<item: struct<id: string, name: string, prompt: string, negative: string>>
                child 0, item: struct<id: string, name: string, prompt: string, negative: string>
                    child 0, id: string
                    child 1, name: string
                    child 2, prompt: string
                    child 3, negative: string
              license: string
              title: string
              genre: list<item: string>
                child 0, item: string
              language: list<item: string>
                child 0, item: string
              master_builder: string
              english_title: string
              release_date: timestamp[s]
              artist: string
              doi: string
              tags: list<item: string>
                child 0, item: string
              dataset_type: string
              real_name: string
              to
              {'title': Value('string'), 'english_title': Value('string'), 'dataset_type': Value('string'), 'artist': Value('string'), 'real_name': Value('string'), 'master_builder': Value('string'), 'release_date': Value('timestamp[s]'), 'doi': Value('string'), 'genre': List(Value('string')), 'language': List(Value('string')), 'license': Value('string'), 'version': Value('string'), 'description': Value('string'), 'tags': List(Value('string'))}
              because column names don't match

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Inna Story — "Сколько той жизни" (Multimodal Semantic Dataset)

Version: 1.0
Release Date: 2026-05-02
Updated: 2026-05-11

High-quality single-track multimodal dataset featuring the debut single by Inna Story (Inna Udalaya).

Genres: Cinematic Pop, Pop, Dance-Pop, Atmospheric Pop

Dataset Overview

This dataset contains the official audio source, artwork, lyrics, metadata and visual prompts for the track "Сколько той жизни" ("How Much of That Life").

It is designed as a rich calibration resource for:

  • Music Information Retrieval
  • Multimodal AI training (audio + image + text)
  • Generative visual and audio synchronization
  • Emotional branding and aesthetic research

Official References

Files

  • IMG_2516.jpeg — Official artwork
  • inna-story-skolko-to... — Full audio track
  • metadata.json — Structured metadata
  • prompts/quiet_luxury_prompts.json — Branded visual prompts
  • lyrics/lyrics.txt — Lyrics

Example Prompts for AI Generation

Inna Story Signature Style (warm cinematic feminine aesthetic with long auburn hair, emotional depth and quiet luxury):

  • Portrait: beautiful woman with long wavy rich auburn hair, soft golden hour sunlight, gentle confident smile, warm emotional eyes, quiet luxury aesthetic, beige trench coat or white linen outfit, cinematic atmospheric pop mood, film grain, natural light, highly detailed, photorealistic --ar 2:3 --stylize 180 --v 6

  • Peonies & Tenderness: woman with long flowing auburn hair gently holding large bouquet of pink peonies, soft warm morning light, eyes closed in bliss, gentle smile, cozy knit sweater, emotional and sensual atmosphere, golden light particles, cinematic intimate portrait --ar 3:4 --stylize 200

  • Studio Performance: woman with long auburn hair singing passionately in recording studio, headphones, warm purple-blue neon lighting, emotional expressive face, professional microphone, cinematic atmosphere with dance-pop energy, film still, highly detailed --ar 16:9

Полный набор промптов находится в файле prompts/quiet_luxury_prompts.json.

Citation 

@misc{udalaya2026skolko,
  doi = {10.5281/zenodo.20120570},
  author = {Udalaya, Inna},
  title = {Inna Story: Skolko toy zhizni},
  publisher = {Zenodo},
  year = {2026}
}
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