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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
Намерете всички c в Z_3, така че Z_3[x]/(x^2 + c) да е поле.: string
0: string
1: string
2: string
3: string
B: string
vs
Ембрионално хиоидната кост произхожда от:: string
първата фарингеална дъга: string
първата и втората фарингеална дъга: string
втората фарингеална дъга: string
втората и третата фарингеална дъга: string
D: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 247, 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 538, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              Намерете всички c в Z_3, така че Z_3[x]/(x^2 + c) да е поле.: string
              0: string
              1: string
              2: string
              3: string
              B: string
              vs
              Ембрионално хиоидната кост произхожда от:: string
              първата фарингеална дъга: string
              първата и втората фарингеална дъга: string
              втората фарингеална дъга: string
              втората и третата фарингеална дъга: string
              D: string

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MMLU-BG-Dataset

Objective of the IfGPT project

The project aims to develop a freely accessible infrastructure for the selection and pre-processing of large datasets for Bulgarian as well as tailored data for particular industries and fine-tuning suitable freely available large language models for specific purposes.

MMLU-BG Dataset

MMLU-BG is a dataset in Bulgarian for testing and evaluating the performance of large language models.

MMLU-BG dataset is based on the original MMLU dataset (Hendrix et al., 2021), taking into account the experience from developing newer and extended versions of the dataset such as MMLU-Pro (Wang et al., 2024) and MMLU-ProX (Xuan et al., 2025), as well as the experience in developing multilingual versions of the dataset (Singh et al., 2024).

In this regard, procedural steps for selecting thematic domains and improving data quality have been introduced in the procedures of compiling the dataset. Further, the correction of the dataset proposed in MMLU-Redux (Gema et al., 2024) are also implemented.

The original MMLU dataset contains a total of over 15,000 questions for 57 domains.

The current release covers 39 domains for Bulgarian, released with its parallel counterpart in English.


This work is part of the project Infrastructure for Fine-tuning Pre-trained Large Language Models, Grant Agreement No. ПВУ – 55 from 12.12.2024 /BG-RRP-2.017-0030-C01/.

https://ifgpt.dcl.bas.bg/en/

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