Feat: Add team Shaikespear submission from NeurIPS E2LM Competition

lm_eval/tasks/sciknoweval_mcqa/README.md

@@ -0,0 +1,47 @@
+# SciKnowEval_mcqa
+
+This task was submitted at the [NeurIPS 2025 E2LM](https://e2lmc.github.io/) competition, and reached $3^{rd}$ place on the general leaderboard.
+Its intended use is within the context of Small Language Model (SLM) evaluation in early training stages. More details are provided in the competition [proposal paper](https://arxiv.org/pdf/2506.07731).
+
+### Benchmark details
+
+This task uses a subset of the [SciKnowEval](https://huggingface.co/datasets/hicai-zju/SciKnowEval) dataset. Specifically, it filters out non-MCQA samples and focuses on questions from levels L1, L2, and L3, which are designed to assess knowledge memory, comprehension and reasoning respectively, as described in the original [paper](https://arxiv.org/pdf/2406.09098v2).
+
+The full SciKnowEval dataset is a comprehensive benchmark for evaluating the scientific knowledge reasoning capabilities of Large Language Models (LLMs). It spans across a few scientific domains: Physics, Chemistry, Biology and Materials.
+
+SciKnowEval_mcqa dataset: https://huggingface.co/datasets/ShAIkespear/SciKnowEval_mcqa
+
+### Citation
+
+```
+@misc{sci-know-2025-mcqa,
+    title = "SciKnowEval_mcqa: A Benchmark for Small Language Model Evaluation in their Early Training Stages",
+    author = "Anthony Kalaydjian, Eric Saikali",
+    year = "2025",
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `sciknoweval_mcqa`: Evaluates `sciknoweval_Biology`, `sciknoweval_Chemistry`, `sciknoweval_Materials` and `sciknoweval_Physics`
+
+#### Tasks
+* `sciknoweval_Biology`: Data across all remaining splits corresponding to Biology MCQs.
+* `sciknoweval_Chemistry`: Data across all remaining splits corresponding to Chemistry MCQs.
+* `sciknoweval_Materials`: Data across all remaining splits corresponding to Materials MCQs.
+* `sciknoweval_Physics`: Data across all remaining splits corresponding to Physics MCQs.
+
+### Checklist
+
+For adding novel benchmarks/datasets to the library:
+  * [ ] Is the task an existing benchmark in the literature?
+  * [x] Have you referenced the original paper that introduced the task?
+  * [x] 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:
+* [x] Is the "Main" variant of this task clearly denoted?
+* [x] 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?

lm_eval/tasks/sciknoweval_mcqa/_sciknoweval_mcqa.yaml

@@ -0,0 +1,9 @@
+group: sciknoweval_mcqa
+group_alias: sciknoweval_mcqa (var5shots)
+task:
+  - sciknoweval_mcqa_task
+aggregate_metric_list:
+  - metric: acc
+    weight_by_size: True
+metadata:
+  version: 2

lm_eval/tasks/sciknoweval_mcqa/_var5shots_template_yaml

@@ -0,0 +1,14 @@
+dataset_path: ShAIkespear/SciKnowEval_mcqa
+output_type: multiple_choice
+test_split: test
+fewshot_split: dev
+num_fewshot: 5
+fewshot_config:
+  sampler: first_n
+doc_to_text: "Question: {{question.strip()}}\nAnswer:"
+doc_to_choice: "{{choices}}"
+doc_to_target: "{{answer}}"
+metadata:
+  version: 1.0
+dataset_kwargs:
+  trust_remote_code: true

lm_eval/tasks/sciknoweval_mcqa/sciknoweval_Biology.yaml

@@ -0,0 +1,7 @@
+"dataset_name": "Biology"
+"description": "The following are multiple choice questions (with answers) about Biology.\n\
+  \n"
+"include": "_var5shots_template_yaml"
+"tag": "sciknoweval_mcqa_task"
+"task": "sciknoweval_mcqa_var5shots_Biology"
+"task_alias": "Biology"

lm_eval/tasks/sciknoweval_mcqa/sciknoweval_Chemistry.yaml

@@ -0,0 +1,7 @@
+"dataset_name": "Chemistry"
+"description": "The following are multiple choice questions (with answers) about Chemistry.\n\
+  \n"
+"include": "_var5shots_template_yaml"
+"tag": "sciknoweval_mcqa_task"
+"task": "sciknoweval_mcqa_var5shots_Chemistry"
+"task_alias": "Chemistry"

lm_eval/tasks/sciknoweval_mcqa/sciknoweval_Material.yaml

@@ -0,0 +1,7 @@
+"dataset_name": "Material"
+"description": "The following are multiple choice questions (with answers) about Material.\n\
+  \n"
+"include": "_var5shots_template_yaml"
+"tag": "sciknoweval_mcqa_task"
+"task": "sciknoweval_mcqa_var5shots_Material"
+"task_alias": "Material"

lm_eval/tasks/sciknoweval_mcqa/sciknoweval_Physics.yaml

@@ -0,0 +1,7 @@
+"dataset_name": "Physics"
+"description": "The following are multiple choice questions (with answers) about Physics.\n\
+  \n"
+"include": "_var5shots_template_yaml"
+"tag": "sciknoweval_mcqa_task"
+"task": "sciknoweval_mcqa_var5shots_Physics"
+"task_alias": "Physics"