Upload load_config.py

load_config.py

@@ -0,0 +1,77 @@
+import csv
+
+import datasets
+
+
+_CITATION = """\
+@article{hendryckstest2021,
+      title={Measuring Massive Multitask Language Understanding},
+      author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mantas Mazeika and Dawn Song and Jacob Steinhardt},
+      journal={Proceedings of the International Conference on Learning Representations (ICLR)},
+      year={2021}
+    }
+"""
+
+_DESCRIPTION = """\
+Psycholinguistics word datasets 
+"""
+
+_HOMEPAGE = "To Add"
+
+_URL = "data.tar"
+
+_SUBJECTS = [
+    "SimCat-TASLP2018"
+]
+
+
+class MyDatasets(datasets.GeneratorBasedBuilder):
+    """Psycholinguistics word datasets"""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=sub, version=datasets.Version("1.0.0"), description=f"Psycholinguistics Volcabulary Datasets  {sub}"
+        )
+        for sub in _SUBJECTS
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "Word": datasets.Value("string"),
+                "Category": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        archive = dl_manager.download(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # 传递给 _generate_examples 方法的参数
+                gen_kwargs={"iter_archive": dl_manager.iter_archive(archive), "split": "test"},
+            ),
+        ]
+
+    def _generate_examples(self, iter_archive, split):
+        """Yields examples as (key, example) tuples."""
+        n_yielded_files = 0
+        for id_file, (path, file) in enumerate(iter_archive):
+            # For example, we iterate through the data folder and find a file with the path "data/test"
+            if f"data/{split}/" in path:
+                # For example, SimCat-TASLP2018_test.csv
+                if f"{self.config.name}_{split}.csv" in path:
+                    n_yielded_files += 1
+                    lines = (line.decode("utf-8") for line in file)
+                    reader = csv.reader(lines)
+                    for id_line, data in enumerate(reader):
+                        yield f"{id_file}_{id_line}", {"Word": data[0], "Category": data[1]}
+                    if n_yielded_files == 8:
+                        break