added description

agieval.py

@@ -31,10 +31,6 @@ _CITATION = """\
   doi={10.1109/TASLP.2023.3293046}}
 """
 
-_DESCRIPTION = """\
-The dataset is an amendment and re-annotation of LogiQA in 2020, a large-scale logical reasoning reading comprehension dataset adapted from the Chinese Civil Service Examination. We increase the data size, refine the texts with manual translation by professionals, and improve the quality by removing items with distinctive cultural features like Chinese idioms. Furthermore, we conduct a fine-grained annotation on the dataset and turn it into a two-way natural language inference (NLI) task, resulting in 35k premise-hypothesis pairs with gold labels, making it the first large-scale NLI dataset for complex logical reasoning
-"""
-
 _HOMEPAGE = "https://github.com/csitfun/LogiQA2.0/tree/main"
 
 _LICENSE = (
@@ -42,6 +38,8 @@ _LICENSE = (
 )
 HEAD = 'https://raw.githubusercontent.com/microsoft/AGIEval/main/data/v1/'
 
+_DESCRIPTION = "AGIEval is a human-centric benchmark specifically designed to evaluate the general abilities of foundation models in tasks pertinent to human cognition and problem-solving. This benchmark is derived from 20 official, public, and high-standard admission and qualification exams intended for general human test-takers, such as general college admission tests"
+
 _URLS = {
     "sat_en": {
         "test": HEAD + 'sat-en.jsonl',
@@ -86,47 +84,47 @@ class AgiEval(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(
             name="aqua_rat",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="sat_en",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="sat_en_wop",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="sat_math",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="lsat_ar",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="lsat_lr",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="lsat_rc",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="logiqa",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
         datasets.BuilderConfig(
             name="math_agieval",
             version=VERSION,
-            description="",
+            description=_DESCRIPTION,
         ),
     ]
     DEFAULT_CONFIG_NAME = "aqua_rat"