Datasets:

Eliz777
/

nutri-questions-dataset

Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 1 fields in line 3, saw 2

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 246, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4196, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
                  yield from 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/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 3, saw 2

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Nutri Questions Dataset

Description

This dataset contains 300 questions in Russian on nutrition and dietetics. The questions cover major diseases and conditions requiring dietary therapy and are designed for testing RAG systems and AI-powered nutrition consultants.

Data Structure

The dataset consists of a single CSV file with the following structure:

Field	Type	Description
`question`	string	Question text in Russian

Total number of questions: 300

Question Categories

The questions cover the following thematic categories:

Diabetes mellitus (types 1 and 2)
Celiac disease (gluten intolerance)
Gastrointestinal diseases (gastritis, ulcers)
Irritable bowel syndrome (IBS)
Cardiovascular diseases (hypertension, cholesterol)
Gout and purine metabolism disorders
Anemia and iron deficiency conditions
Chronic kidney diseases
Liver and pancreatic diseases
Obesity and weight loss
Pregnancy and breastfeeding
Combined conditions (two or more diseases)
General nutrition questions

Sources

Questions were formulated based on an analysis of the following sources:

Clinical guidelines of the Ministry of Health of the Russian Federation
Textbooks and manuals on nutrition and dietetics
Real user queries from Russian-language thematic forums

Example Questions

#	Question
1	What can you eat for breakfast with type 2 diabetes?
2	What snacks are suitable for diabetes to avoid blood sugar spikes?
3	Which grains do not contain gluten?
4	What can you eat for gastritis without irritating the stomach?
5	What foods help lower blood pressure?

Usage

This dataset is intended for:

Evaluating the quality of RAG systems in nutrition
Testing AI-powered nutrition consultants
Comparing different architectures (baseline RAG vs agentic RAG)
Benchmarking Russian-language medical models

Loading the Dataset

from datasets import load_dataset

dataset = load_dataset("elizavetakadochnikova/nutri-questions-dataset")
questions = dataset["train"]["question"]

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