serbian-llm-eval / README.md
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---
license: apache-2.0
dataset_info:
- config_name: arc_challenge
features:
- name: example_id
dtype: string
- name: query
dtype: string
- name: choices
list: string
- name: gold
dtype: int64
splits:
- name: test
num_bytes: 362046
num_examples: 1172
download_size: 275418
dataset_size: 362046
- config_name: arc_easy
features:
- name: example_id
dtype: string
- name: query
dtype: string
- name: choices
list: string
- name: gold
dtype: int64
splits:
- name: test
num_bytes: 628105
num_examples: 2376
download_size: 463671
dataset_size: 628105
- config_name: boolq
features:
- name: example_id
dtype: string
- name: question
dtype: string
- name: passage
dtype: string
- name: label
dtype: int64
splits:
- name: test
num_bytes: 2272326
num_examples: 3270
download_size: 1471811
dataset_size: 2272326
- config_name: hellaswag
features:
- name: example_id
dtype: string
- name: query
dtype: string
- name: choices
list: string
- name: gold
dtype: int64
splits:
- name: test
num_bytes: 8540674
num_examples: 10042
download_size: 7301658
dataset_size: 8540674
- config_name: nq_open
features:
- name: example_id
dtype: string
- name: question
dtype: string
- name: answer
list: string
splits:
- name: test
num_bytes: 404421
num_examples: 3610
- name: train
num_bytes: 9091871
num_examples: 87925
download_size: 5917498
dataset_size: 9496292
- config_name: openbookqa
features:
- name: example_id
dtype: string
- name: query
dtype: string
- name: choices
list: string
- name: gold
dtype: int64
splits:
- name: test
num_bytes: 84699
num_examples: 500
download_size: 71491
dataset_size: 84699
- config_name: piqa
features:
- name: example_id
dtype: string
- name: goal
dtype: string
- name: choices
list: string
- name: gold
dtype: int64
splits:
- name: test
num_bytes: 543708
num_examples: 1838
download_size: 478588
dataset_size: 543708
- config_name: triviaqa
features:
- name: example_id
dtype: string
- name: question
dtype: string
- name: answer_value
dtype: string
- name: answer_aliases
list: string
splits:
- name: test
num_bytes: 7812049
num_examples: 17944
- name: train
num_bytes: 58896326
num_examples: 138384
download_size: 58142652
dataset_size: 66708375
- config_name: winogrande
features:
- name: example_id
dtype: string
- name: sentence
dtype: string
- name: option1
dtype: string
- name: option2
dtype: string
- name: answer
dtype: string
splits:
- name: test
num_bytes: 198936
num_examples: 1267
download_size: 102151
dataset_size: 198936
configs:
- config_name: arc_challenge
data_files:
- split: test
path: arc_challenge/test-*
- config_name: arc_easy
data_files:
- split: test
path: arc_easy/test-*
- config_name: boolq
data_files:
- split: test
path: boolq/test-*
- config_name: hellaswag
data_files:
- split: test
path: hellaswag/test-*
- config_name: nq_open
data_files:
- split: test
path: nq_open/test-*
- split: train
path: nq_open/train-*
- config_name: openbookqa
data_files:
- split: test
path: openbookqa/test-*
- config_name: piqa
data_files:
- split: test
path: piqa/test-*
- config_name: triviaqa
data_files:
- split: test
path: triviaqa/test-*
- split: train
path: triviaqa/train-*
- config_name: winogrande
data_files:
- split: test
path: winogrande/test-*
---
# Serbian LLM Eval
This dataset is a republish of
[gordicaleksa/serbian-llm-eval-v1](https://huggingface.co/datasets/gordicaleksa/serbian-llm-eval-v1)
as plain Parquet configs, so it can be loaded with modern versions of the
`datasets` library (the upstream repo ships a Python loading script that
`datasets` can no longer execute). Row contents are otherwise unchanged; only
the `example_id` field is synthesized where the upstream data has no unique
identifier, and the `triviaqa` `answer` struct is flattened into
`answer_value` / `answer_aliases` columns.
## Attribution
All content originates from
[Aleksa Gordić](https://www.linkedin.com/in/aleksagordic)'s
**Serbian LLM Eval** project: English benchmark data machine-translated to
Serbian (Google Translate), refined via GPT-4, with manual review. See the
[upstream dataset card](https://huggingface.co/datasets/gordicaleksa/serbian-llm-eval-v1)
and the
[project report](https://wandb.ai/gordicaleksa/serbian_llm_eval/reports/First-Serbian-LLM-eval---Vmlldzo2MjgwMDA5)
for full methodology and credits.
- **Upstream repo:** [gordicaleksa/serbian-llm-eval-v1](https://huggingface.co/datasets/gordicaleksa/serbian-llm-eval-v1)
- **Upstream revision:** `d9d7e1b6ff163fc659e652ebabb4dbf262dae387`
- **License:** Apache 2.0 (matches upstream)
## Splits and counts
| Config | Split | Rows |
|--------|-------|------|
| `arc_challenge` | `test` | 1172 |
| `arc_easy` | `test` | 2376 |
| `boolq` | `test` | 3270 |
| `hellaswag` | `test` | 10042 |
| `nq_open` | `test` | 3610 |
| `nq_open` | `train` | 87925 |
| `openbookqa` | `test` | 500 |
| `piqa` | `test` | 1838 |
| `triviaqa` | `test` | 17944 |
| `triviaqa` | `train` | 138384 |
| `winogrande` | `test` | 1267 |
Only `nq_open` and `triviaqa` have a `train` split; every other config has a
single `test` split.
## Usage
```python
from datasets import load_dataset
ds = load_dataset("permitt/serbian-llm-eval", "arc_challenge", split="test")
```
## Citation
Please cite the upstream dataset:
```
@article{serbian-llm-eval,
author = "Gordić Aleksa",
title = "Serbian LLM Eval",
year = "2023"
howpublished = {\url{https://huggingface.co/datasets/gordicaleksa/serbian-llm-eval-v1}},
}
```
## License
Apache 2.0, matching the upstream `gordicaleksa/serbian-llm-eval-v1` dataset.