pointed to correct link and fixed info

README.md

@@ -1,24 +1,24 @@
 ---
 annotations_creators:
-- found
+  - found
 extended:
-- original
+  - original
 language_creators:
-- machine-generated
+  - machine-generated
 languages:
-- jv
+  - jv
 licenses:
-- odbl-1.0
+  - odbl-1.0
 multilinguality:
-- monolingual
+  - monolingual
 size_categories:
-- 10K<n<100K
+  - 10K<n<100K
 source_datasets:
-- original
+  - original
 task_categories:
-- text-classification
+  - text-classification
 task_ids:
-- sentiment-classification
+  - sentiment-classification
 ---
 
 # Dataset Card for "imdb-javanese"
@@ -49,8 +49,8 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:** [Github](https://github.com/w11wo/javanese-nlp)
-- **Repository:** [Github](https://github.com/w11wo/javanese-nlp)
+- **Homepage:** [Github](https://github.com/w11wo/nlp-datasets#javanese-imdb)
+- **Repository:** [Github](https://github.com/w11wo/nlp-datasets#javanese-imdb)
 - **Paper:** [Aclweb](http://www.aclweb.org/anthology/P11-1015)
 - **Point of Contact:** [Wilson Wongso](https://github.com/w11wo)
 - **Size of downloaded dataset files:** 17.0 MB
@@ -77,9 +77,9 @@ We show detailed information for up to 5 configurations of the dataset.
 
 An example of `javanese_imdb_train.csv` looks as follows.
 
-| label | text                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
-|-------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 1     | "Drama romantik sing digawé karo direktur Martin Ritt kuwi ora dingertèni, nanging ana momen-momen sing marahi karisma lintang Jane Fonda lan Robert De Niro (kelompok sing luar biasa). Dhèwèké dadi randha sing ora isa mlaku, iso anu anyar lan anyar-inventor-- kowé isa nganggep isiné. Adapsi novel Pat Barker ""Union Street"" (yak titel sing apik!) arep dinggo-back-back it on bland, lan pendidikan film kuwi gampang, nanging isih nyenengké; a rosy-hued-inventor-fantasi. Ora ana sing ngganggu gambar sing sejati ding kok iso dinggo nggawe gambar sing paling nyeneng."       |
+| label | text                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| ----- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| 1     | "Drama romantik sing digawé karo direktur Martin Ritt kuwi ora dingertèni, nanging ana momen-momen sing marahi karisma lintang Jane Fonda lan Robert De Niro (kelompok sing luar biasa). Dhèwèké dadi randha sing ora isa mlaku, iso anu anyar lan anyar-inventor-- kowé isa nganggep isiné. Adapsi novel Pat Barker ""Union Street"" (yak titel sing apik!) arep dinggo-back-back it on bland, lan pendidikan film kuwi gampang, nanging isih nyenengké; a rosy-hued-inventor-fantasi. Ora ana sing ngganggu gambar sing sejati ding kok iso dinggo nggawe gambar sing paling nyeneng."      |
 | 0     | "Pengalaman wong lanang sing nduwé perasaan sing ora lumrah kanggo babi. Mulai nganggo tuladha sing luar biasa yaiku komedia. Wong orkestra termel digawé dadi wong gila, sing kasar merga nyanyian nyanyi. Sayangé, kuwi tetep absurd wektu WHOLE tanpa ceramah umum sing mung digawé. Malah, sing ana ing jaman kuwi kudu ditinggalké. Diyalog kryptik sing nggawé Shakespeare marah gampang kanggo kelas telu. Pak teknis kuwi luwih apik timbang kowe mikir nganggo cinematografi sing apik sing jenengé Vilmos Zsmond. Masa depan bintang Saly Kirkland lan Frederic Forrest isa ndelok." |
 
 ### Data Fields
@@ -89,9 +89,9 @@ An example of `javanese_imdb_train.csv` looks as follows.
 
 ### Data Splits Sample Size
 
-|train|unsupervised|test |
-|----:|-----------:|----:|
-|25000|       50000|25000|
+| train | unsupervised |  test |
+| ----: | -----------: | ----: |
+| 25000 |        50000 | 25000 |
 
 ## Dataset Creation
 
@@ -162,4 +162,4 @@ An example of `javanese_imdb_train.csv` looks as follows.
   url       = {http://www.aclweb.org/anthology/P11-1015}
 }
 
-```
+```

dataset_infos.json

@@ -1 +1,60 @@
-{"default": {"description": "Large Movie Review Dataset translated to Javanese.\nThis is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. We translated the original IMDB Dataset to Javanese using the multi-lingual MarianMT Transformer model from `Helsinki-NLP/opus-mt-en-mul`. \n", "citation": "@InProceedings{maas-EtAl:2011:ACL-HLT2011,\n  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},\n  title     = {Learning Word Vectors for Sentiment Analysis},\n  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},\n  month     = {June},\n  year      = {2011},\n  address   = {Portland, Oregon, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {142--150},\n  url       = {http://www.aclweb.org/anthology/P11-1015}\n}\n", "homepage": "https://github.com/w11wo/javanese-nlp", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["0", "1", "-1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "javanese_imdb_reviews", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12587778, "num_examples": 25000, "dataset_name": "javanese_imdb_reviews"}, "test": {"name": "test", "num_bytes": 12532318, "num_examples": 25000, "dataset_name": "javanese_imdb_reviews"}, "unsupervised": {"name": "unsupervised", "num_bytes": 25239260, "num_examples": 50000, "dataset_name": "javanese_imdb_reviews"}}, "download_checksums": {"https://github.com/w11wo/javanese-nlp/blob/main/imdb-javanese/javanese_imdb_csv.zip?raw=true": {"num_bytes": 17911848, "checksum": "f42e179c0bc9286c5c5dee85ddabe908ac42e428e699082be642c3289801bbbb"}}, "download_size": 17911848, "post_processing_size": null, "dataset_size": 50359356, "size_in_bytes": 68271204}}
+{
+	"default": {
+		"description": "\nLarge Movie Review Dataset translated to Javanese.\nThis is a dataset for binary sentiment classification containing substantially\nmore data than previous benchmark datasets. We provide a set of 25,000 highly\npolar movie reviews for training, and 25,000 for testing. There is additional\nunlabeled data for use as well. We translated the original IMDB Dataset to\nJavanese using the multi-lingual MarianMT Transformer model from\n`Helsinki-NLP/opus-mt-en-mul`. \n",
+		"citation": "@InProceedings{maas-EtAl:2011:ACL-HLT2011,\n  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},\n  title     = {Learning Word Vectors for Sentiment Analysis},\n  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},\n  month     = {June},\n  year      = {2011},\n  address   = {Portland, Oregon, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {142--150},\n  url       = {http://www.aclweb.org/anthology/P11-1015}\n}\n",
+		"homepage": "https://github.com/w11wo/nlp-datasets#javanese-imdb",
+		"license": "",
+		"features": {
+			"text": { "dtype": "string", "id": null, "_type": "Value" },
+			"label": {
+				"num_classes": 3,
+				"names": ["0", "1", "-1"],
+				"names_file": null,
+				"id": null,
+				"_type": "ClassLabel"
+			}
+		},
+		"post_processed": null,
+		"supervised_keys": null,
+		"task_templates": null,
+		"builder_name": "javanese_imdb_reviews",
+		"config_name": "default",
+		"version": {
+			"version_str": "1.0.0",
+			"description": null,
+			"major": 1,
+			"minor": 0,
+			"patch": 0
+		},
+		"splits": {
+			"train": {
+				"name": "train",
+				"num_bytes": 12587778,
+				"num_examples": 25000,
+				"dataset_name": "javanese_imdb_reviews"
+			},
+			"test": {
+				"name": "test",
+				"num_bytes": 12532318,
+				"num_examples": 25000,
+				"dataset_name": "javanese_imdb_reviews"
+			},
+			"unsupervised": {
+				"name": "unsupervised",
+				"num_bytes": 25239260,
+				"num_examples": 50000,
+				"dataset_name": "javanese_imdb_reviews"
+			}
+		},
+		"download_checksums": {
+			"https://huggingface.co/datasets/w11wo/imdb-javanese/resolve/main/javanese_imdb_csv.zip": {
+				"num_bytes": 17911848,
+				"checksum": "f42e179c0bc9286c5c5dee85ddabe908ac42e428e699082be642c3289801bbbb"
+			}
+		},
+		"download_size": 17911848,
+		"post_processing_size": null,
+		"dataset_size": 50359356,
+		"size_in_bytes": 68271204
+	}
+}

imdb-javanese.py

@@ -32,9 +32,9 @@ Javanese using the multi-lingual MarianMT Transformer model from
 `Helsinki-NLP/opus-mt-en-mul`. 
 """
 
-_URL = "https://github.com/w11wo/javanese-nlp/blob/main/imdb-javanese/javanese_imdb_csv.zip?raw=true"
+_URL = "https://huggingface.co/datasets/w11wo/imdb-javanese/resolve/main/javanese_imdb_csv.zip"
 
-_HOMEPAGE = "https://github.com/w11wo/javanese-nlp"
+_HOMEPAGE = "https://github.com/w11wo/nlp-datasets#javanese-imdb"
 
 
 class JavaneseImdbReviews(datasets.GeneratorBasedBuilder):