Datasets:
The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: int64
situation: string
user: string
assistant: string
register: string
tags: list<item: string>
child 0, item: string
metadata: struct<name: string, language: string, version: string, size: int64, situations: list<item: string>, (... 63 chars omitted)
child 0, name: string
child 1, language: string
child 2, version: string
child 3, size: int64
child 4, situations: list<item: string>
child 0, item: string
child 5, register: list<item: string>
child 0, item: string
child 6, author: string
child 7, license: string
data: list<item: struct<id: int64, situation: string, user: string, assistant: string, register: string, t (... 25 chars omitted)
child 0, item: struct<id: int64, situation: string, user: string, assistant: string, register: string, tags: list<i (... 13 chars omitted)
child 0, id: int64
child 1, situation: string
child 2, user: string
child 3, assistant: string
child 4, register: string
child 5, tags: list<item: string>
child 0, item: string
to
{'metadata': {'name': Value('string'), 'language': Value('string'), 'version': Value('string'), 'size': Value('int64'), 'situations': List(Value('string')), 'register': List(Value('string')), 'author': Value('string'), 'license': Value('string')}, 'data': List({'id': Value('int64'), 'situation': Value('string'), 'user': Value('string'), 'assistant': Value('string'), 'register': 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 295, 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 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: int64
situation: string
user: string
assistant: string
register: string
tags: list<item: string>
child 0, item: string
metadata: struct<name: string, language: string, version: string, size: int64, situations: list<item: string>, (... 63 chars omitted)
child 0, name: string
child 1, language: string
child 2, version: string
child 3, size: int64
child 4, situations: list<item: string>
child 0, item: string
child 5, register: list<item: string>
child 0, item: string
child 6, author: string
child 7, license: string
data: list<item: struct<id: int64, situation: string, user: string, assistant: string, register: string, t (... 25 chars omitted)
child 0, item: struct<id: int64, situation: string, user: string, assistant: string, register: string, tags: list<i (... 13 chars omitted)
child 0, id: int64
child 1, situation: string
child 2, user: string
child 3, assistant: string
child 4, register: string
child 5, tags: list<item: string>
child 0, item: string
to
{'metadata': {'name': Value('string'), 'language': Value('string'), 'version': Value('string'), 'size': Value('int64'), 'situations': List(Value('string')), 'register': List(Value('string')), 'author': Value('string'), 'license': Value('string')}, 'data': List({'id': Value('int64'), 'situation': Value('string'), 'user': Value('string'), 'assistant': Value('string'), 'register': Value('string'), 'tags': List(Value('string'))})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Russian Everyday Dialogues / Русские повседневные диалоги
A dataset of 20 natural conversational Russian dialogues covering everyday situations. Создан носителем языка с 18-летним опытом работы в международной среде.
Dataset Description
This dataset contains short, natural Russian dialogues typical of everyday urban life in Russia. Each example reflects authentic spoken language patterns, not formal or literary Russian.
Situations covered
- 🛒 Магазин / Shopping — 7 dialogues
- 🚌 Транспорт / Public Transport — 6 dialogues
- ☕ Кафе / Café — 7 dialogues
Dataset Structure
Each record contains:
| Field | Type | Description |
|---|---|---|
id |
int | Unique identifier |
situation |
string | Context: магазин / транспорт / кафе |
user |
string | Human utterance |
assistant |
string | Natural response |
register |
string | нейтральный / разговорный |
tags |
list | Semantic tags |
Example
{
"id": 1,
"situation": "магазин",
"user": "Извините, а где у вас молоко?",
"assistant": "Молоко в молочном отделе, это в конце второго ряда, слева от йогуртов.",
"register": "нейтральный",
"tags": ["магазин", "навигация", "вежливое обращение"]
}
Use Cases
- Training conversational AI models in Russian
- Fine-tuning language models for spoken Russian
- Russian language learning applications
- Dialogue system development
Data Collection
Dialogues were written by a native Russian speaker with extensive experience in international business communication (Russian/German/English). All dialogues reflect natural, contemporary spoken Russian.
License
CC BY 4.0 You are free to share and adapt this dataset with attribution.
Citation
@dataset{russian_everyday_dialogues_2025,
title={Russian Everyday Dialogues},
author={Myskina, Ekaterina},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/datasets/kukunechka/russian-everyday-dialogues}
}
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