update for dataset name

dataset_infos.json

@@ -1 +1 @@
-{"KP20k": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"},"title": {"dtype": "string", "id": null, "_type": "Value"},"abstract": {"dtype": "string", "id": null, "_type": "Value"},  "keyphrases": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "prmu": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "json", "config_name": "KP20k", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 654714676, "num_examples": 530809, "dataset_name": "json"}, "test": {"name": "test", "num_bytes": 24675779, "num_examples": 20000, "dataset_name": "json"}, "validation": {"name": "validation", "num_bytes": 24657665, "num_examples": 20000, "dataset_name": "json"}}, "download_size": 720581004, "post_processing_size": null, "dataset_size": 704048120, "size_in_bytes": 1424629124}, "KP20k": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"abstract": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "keyphrases": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "prmu": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "json", "config_name": "KP20k", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 654714676, "num_examples": 530809, "dataset_name": "json"}, "test": {"name": "test", "num_bytes": 24675779, "num_examples": 20000, "dataset_name": "json"}, "validation": {"name": "validation", "num_bytes": 24657665, "num_examples": 20000, "dataset_name": "json"}}, "download_size": 720581004, "post_processing_size": null, "dataset_size": 704048120, "size_in_bytes": 1424629124}}
+{"raw": {"description": "KP20k dataset for keyphrase extraction and generation in scientific paper.\n", "citation": "@InProceedings{meng-EtAl:2017:Long,\n  author    = {Meng, Rui  and  Zhao, Sanqiang  and  Han, Shuguang  and  He, Daqing  and  Brusilovsky, Peter  and  Chi, Yu},\n  title     = {Deep Keyphrase Generation},\n  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\n  month     = {July},\n  year      = {2017},\n  address   = {Vancouver, Canada},\n  publisher = {Association for Computational Linguistics},\n  pages     = {582--592},\n  url       = {http://aclweb.org/anthology/P17-1054}\n}\n", "homepage": "http://memray.me/uploads/acl17-keyphrase-generation.pdf", "license": "MIT LICENSE", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "abstract": {"dtype": "string", "id": null, "_type": "Value"}, "keyphrases": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "prmu": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "kp20k", "config_name": "raw", "version": {"version_str": "0.0.1", "description": "", "major": 0, "minor": 0, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 654714676, "num_examples": 530809, "dataset_name": "kp20k"}, "test": {"name": "test", "num_bytes": 24675779, "num_examples": 20000, "dataset_name": "kp20k"}, "validation": {"name": "validation", "num_bytes": 24657665, "num_examples": 20000, "dataset_name": "kp20k"}}, "download_checksums": {"test.json": {"num_bytes": 25255559, "checksum": "3b6caeb55eaf941deb11f9e5152494310db2ac5970194e722798e3e035855561"}, "train.json": {"num_bytes": 670087948, "checksum": "59a20765c76126945e9eb298d7837175e886403f113c1a23c0cab7dc3cd9496d"}, "validation.json": {"num_bytes": 25237497, "checksum": "1c0ec7541c24c81b44c11c8cc5a0cbda88956a39bf94552dd03dcdf7fb25dd67"}}, "download_size": 720581004, "post_processing_size": null, "dataset_size": 704048120, "size_in_bytes": 1424629124}}

kp20k.py

@@ -1,13 +1,9 @@
 import csv
 import json
 import os
-
-logger = datasets.logging.get_logger(__name__)
-
 import datasets
 
 
-
 _CITATION = """\
 @InProceedings{meng-EtAl:2017:Long,
   author    = {Meng, Rui  and  Zhao, Sanqiang  and  Han, Shuguang  and  He, Daqing  and  Brusilovsky, Peter  and  Chi, Yu},
@@ -41,11 +37,7 @@ _URLS = {
     "validation": "validation.json"
 }
 
-class KP20kConfig(datasets.BuilderConfig):
 
-    def __init__(self, **kwargs):
-        
-        super(KP20kConfig, self).__init__(**kwargs)
 
 # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
 class KP20k(datasets.GeneratorBasedBuilder):
@@ -64,11 +56,7 @@ class KP20k(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
-        KP20kConfig(
-            name="raw", 
-            version=VERSION, 
-            description="This part of the dataset covers the raw data.",
-        ),
+        datasets.BuilderConfig(name="raw", version=VERSION, description="This part of my dataset covers the raw data"),
     ]
 
     #DEFAULT_CONFIG_NAME = "raw"  # It's not mandatory to have a default configuration. Just use one if it make sense.
@@ -111,7 +99,7 @@ class KP20k(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir,"train.json"),
+                    "filepath": os.path.join(data_dir["train"]),
                     "split": "train",
                 },
             ),
@@ -119,7 +107,7 @@ class KP20k(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir,"test.json"),
+                    "filepath": os.path.join(data_dir["test"]),
                     "split": "test"
                 },
             ),
@@ -127,7 +115,7 @@ class KP20k(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir,"validation.json"),
+                    "filepath": os.path.join(data_dir["validation"]),
                     "split": "validation",
                 },
             ),