fixed dataset and loader

NLPCC2016_Stance_Detection_Task_A_Testdata.tsv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bda780fb9ec241f8c2d3fdb2d0ccfe24bead13e36a9d41455db045aa279f6a34
-size 3492261

NLPCC2016_Stance_Detection_Task_B_Testdata.tsv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:69fede318c337d49e0fbbe277aa66d25d3e7ce5451f4b3d56d47ae5126ec8492
-size 1850423

dataset_infos.json

@@ -0,0 +1 @@
+{"task_a": {"description": "", "citation": "", "homepage": "", "license": "cc-by-4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "stance": {"num_classes": 3, "names": ["AGAINST", "FAVOR", "NONE"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "nlpcc_stance", "config_name": "task_a", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 775152, "num_examples": 2986, "dataset_name": "nlpcc_stance"}}, "download_checksums": {"taska_train.csv": {"num_bytes": 744329, "checksum": "8d27fe452e00bbcb5f20c3d7eaac21ef9a6df27598db6c87b79353e2fdd96e41"}}, "download_size": 744329, "post_processing_size": null, "dataset_size": 775152, "size_in_bytes": 1519481}}

evasampledata4-TaskAA.tsv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b8e2bbeb09e2b92dcdf46381b7814ad413cad1bfbb92c1227be4694fe427e50d
-size 750935

evasampledata4-TaskBR.tsv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f8dd4a444ee3c20a7236a23ee3bb9490b052f1a4d9b337697593312ed9b19bfd
-size 419068

nlpcc_stance.py

@@ -69,11 +69,9 @@ class NLPCCStance(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        train_text = dl_manager.download_and_extract("nlpcc_taska.csv")
-        test_text  = dl_manager.download_and_extract("NLPCC2016_Stance_Detection_Task_A_Testdata.tsv")
+        train_text = dl_manager.download_and_extract("taska_train.csv")
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN,      gen_kwargs={"filepath": train_text, "split": "train"}),
-            datasets.SplitGenerator(name=datasets.Split.TEST,       gen_kwargs={"filepath": test_text,  "split": "test"}),
         ]
 
     def _generate_examples(self, filepath, split):
@@ -81,10 +79,10 @@ class NLPCCStance(datasets.GeneratorBasedBuilder):
             reader = csv.DictReader(f, delimiter=",")
             guid = 0
             for instance in reader:
-                print(f"At iteration: {guid}")
-                instance["target"] = instance.pop("TARGET")
-                instance["text"] = instance.pop("TEXT")
-                instance["stance"] = instance.pop("STANCE")
+                print(f"At iteration: {guid+1}")
+                instance["target"] = instance.pop("target")
+                instance["text"] = instance.pop("text")
+                instance["stance"] = instance.pop("stance")
                 instance['id'] = str(guid)
                 yield guid, instance
                 guid += 1        

taska_train.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:67b893c1073569618840ea9bc2c30c2ec86b24ac976da60f41d8a201df5f5b92
-size 748131
+oid sha256:8d27fe452e00bbcb5f20c3d7eaac21ef9a6df27598db6c87b79353e2fdd96e41
+size 744329