---
title: "ULQA"
source: EleutherAI LM Evaluation Harness
source_url: https://github.com/EleutherAI/lm-evaluation-harness
licence: MIT
domain: agentic-ai
subdomain: eleutherai-lm-eval
date_added: 2026-04-25
---

# ULQA

### Descriptions

The ulqa datasets contains crowdsourced Uyghur language and Uyghur literature exam and exercise questions. The questions are in multiple-choice, boolean and generative formats. The tasks covers different skill levels: basic (ULUT or lambada_uyghur), intermidiate (ULQA or uleval), high (CELEP1 or CELEP2).  


### Tags, Groups and Tasks

#### Tags

* uyghur_llm
* uyghur_literature

#### Groups

* ulut

#### Tasks

* `lambada_uyghur`
* `ulut`
* `ulqa`
* `uleval`
* `CELEP1`
* `CELEP2`

### Checklist

For adding novel benchmarks/datasets to the library:
* [ ] Is the task an existing benchmark in the literature?
  * [ ] Have you referenced the original paper that introduced the task?
  * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?


If other tasks on this dataset are already supported:
* [ ] Is the "Main" variant of this task clearly denoted?
* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
