update dataset infos

dataset_infos.json

@@ -1 +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}}
+{"task_a": {"description": "This is a stance prediction dataset in Chinese.\nThe data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. \n", "citation": "@incollection{xu2016overview,\n  title={Overview of nlpcc shared task 4: Stance detection in chinese microblogs},\n  author={Xu, Ruifeng and Zhou, Yu and Wu, Dongyin and Gui, Lin and Du, Jiachen and Xue, Yun},\n  booktitle={Natural language understanding and intelligent applications},\n  pages={907--916},\n  year={2016},\n  publisher={Springer}\n}\n", "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}}

nlpcc_stance.py

@@ -21,9 +21,19 @@ import os
 import datasets
 
 _CITATION = """\
+@incollection{xu2016overview,
+  title={Overview of nlpcc shared task 4: Stance detection in chinese microblogs},
+  author={Xu, Ruifeng and Zhou, Yu and Wu, Dongyin and Gui, Lin and Du, Jiachen and Xue, Yun},
+  booktitle={Natural language understanding and intelligent applications},
+  pages={907--916},
+  year={2016},
+  publisher={Springer}
+}
 """
 
 _DESCRIPTION = """\
+This is a stance prediction dataset in Chinese.
+The data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. 
 """
 
 _HOMEPAGE = ""