Upload dataset

README.md

@@ -8,5 +8,42 @@ tags:
 - code
 size_categories:
 - 1K<n<10K
-Introduction: This is the AlgoSimBench dataset, which contains competitive-level programming problems and fine-grained algorithm tags for topics related to the problems and corresponding algorithms to solve them. The purpose of AlgoSimBench is to evaluate models' abilities in identifying algorithmically similar problems. AlgoSimBench-mcq consists of 402 multiple-choice questions, with a reference problem, one algorithmically similar positive and 3 algorithmically dissimilar negatives. Each problem_id corresponds to ones in the raw problem corpus.
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+Introduction: This is the AlgoSimBench dataset, which contains competitive-level programming
+  problems and fine-grained algorithm tags for topics related to the problems and
+  corresponding algorithms to solve them. The purpose of AlgoSimBench is to evaluate
+  models' abilities in identifying algorithmically similar problems. AlgoSimBench-mcq
+  consists of 402 multiple-choice questions, with a reference problem, one algorithmically
+  similar positive and 3 algorithmically dissimilar negatives. Each problem_id corresponds
+  to ones in the raw problem corpus.
+configs:
+- config_name: default
+  data_files:
+  - split: MCQ_test
+    path: data/MCQ_test-*
+dataset_info:
+  features:
+  - name: negative
+    list:
+    - name: prob_id
+      dtype: string
+    - name: tags
+      sequence: string
+  - name: positive
+    struct:
+    - name: prob_id
+      dtype: string
+    - name: tags
+      sequence: string
+  - name: reference
+    struct:
+    - name: prob_id
+      dtype: string
+    - name: tags
+      sequence: string
+  splits:
+  - name: MCQ_test
+    num_bytes: 141382
+    num_examples: 402
+  download_size: 31573
+  dataset_size: 141382
+---

data/MCQ_test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2ab4c7045f0b664159a46f7fac7107946a96f475eb2d2d3cf92695ddd63a7b9
+size 31573