update

C2Gen.py

@@ -42,7 +42,7 @@ _TASKS = {
 
 
 # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class SuperLim(datasets.GeneratorBasedBuilder):
+class C2Gen(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""
 
     VERSION = datasets.Version("1.1.0")
@@ -66,7 +66,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "context": datasets.Value("string"),
-                "keywords": datasets.Sequence(feature={"a": datasets.Value(datasets.dtype="String", id=None),"b": datasets.Value(datasets.dtype="String", id=None),"c": datasets.Value(datasets.dtype="String", id=None)}, length=-1,id=None),
+                "keywords": datasets.Sequence(feature=[datasets.Value(dtype="string",id=None)], length=-1,id=None),
                 # These are the features of your dataset like images, labels ...
             }
         )
@@ -117,9 +117,6 @@ class SuperLim(datasets.GeneratorBasedBuilder):
             # Yields examples as (key, example) tuples
             yield key, {
                 "context": row["Context"],
-                "keywords": {
-                    "a": row["Words"]["a"],
-                    "b": row["Words"]["b"],
-                    "c": row["Words"]["c"],
+                "keywords": row["Words"],
             }
 

dataset_infos.json

@@ -0,0 +1 @@
+{"c2gen": {"description": "The task of C2Gen is to both generate commonsensical text which include the given words, and also have the generated text adhere to the given context.\n", "citation": "TODO\n", "homepage": "", "license": "cc-by-sa-4.0", "features": {"context": {"dtype": "string", "id": null, "_type": "Value"}, "keywords": {"feature": [{"dtype": "string", "id": null, "_type": "Value"}], "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "c2_gen", "config_name": "c2gen", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 482221, "num_examples": 1483, "dataset_name": "c2_gen"}}, "download_checksums": {"https://huggingface.co/datasets/Severine/C2Gen/resolve/main/data/test.json": {"num_bytes": 396766, "checksum": "9f1c6c770f8583a05f72c80c5a93427e4d30c5d72fc683b8964138c4cbad1d8b"}}, "download_size": 396766, "post_processing_size": null, "dataset_size": 482221, "size_in_bytes": 878987}}