Enable dataset viewer by hosting data files (#3)

- Host data file (b4b3e8b855a72900fdbd655411531d3f282b5346)
- Update loading script (e44149ad686da2af3584f463fcd645a9ab14bfad)
- Update dataset card (fd0583cc7387227af22f0d901407511f18fcf7fe)
- Delete legacy metadata JSON file (79c5ab731b56473f776681a44e5790341d8e9136)

README.md

@@ -1546,7 +1546,7 @@ config_names:
 
 - **Homepage:** https://sites.google.com/site/datascienceslab/projects/multilingualsentiment
 - **Repository:** https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages
-- **Paper:** [Needs More Information]
+- **Paper:** https://aclanthology.org/P14-2063/
 - **Leaderboard:** [Needs More Information]
 - **Point of Contact:** [Needs More Information]
 
@@ -1716,19 +1716,32 @@ Zhoa
 
 ### Licensing Information
 
-GNU General Public License v3
+GNU General Public License v3.
+
+It is distributed here under the [GNU General Public License](http://www.gnu.org/licenses/gpl-3.0.html). 
+Note that this is the full GPL, which allows many free uses, but does not allow its incorporation into any type of distributed proprietary software, even in part or in translation.
+For commercial applications please contact the dataset creators (see "Citation Information").
 
 ### Citation Information
-@inproceedings{inproceedings,
-author = {Chen, Yanqing and Skiena, Steven},
-year = {2014},
-month = {06},
-pages = {383-389},
-title = {Building Sentiment Lexicons for All Major Languages},
-volume = {2},
-journal = {52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference},
-doi = {10.3115/v1/P14-2063}
+
+This dataset was collected by Yanqing Chen and Steven Skiena. If you use it in your work, please cite the following paper:
+
+```bibtex
+@inproceedings{chen-skiena-2014-building,
+    title = "Building Sentiment Lexicons for All Major Languages",
+    author = "Chen, Yanqing  and
+      Skiena, Steven",
+    booktitle = "Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
+    month = jun,
+    year = "2014",
+    address = "Baltimore, Maryland",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/P14-2063",
+    doi = "10.3115/v1/P14-2063",
+    pages = "383--389",
 }
+```
+
 ### Contributions
 
 Thanks to [@KMFODA](https://github.com/KMFODA) for adding this dataset.

data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47fbb054dbf989dee3283f006139c79774b007f4727fe50205f16b5e410f75fb
+size 1621755

senti_lex.py

@@ -41,7 +41,8 @@ _HOMEPAGE = "https://sites.google.com/site/datascienceslab/projects/multilingual
 
 _LICENSE = "GNU General Public License v3"
 
-_URLs = "https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages"
+# Origin data from: "https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages"
+_URL = "data.zip"
 
 LANGS = [
     "af",
@@ -135,17 +136,6 @@ class SentiLex(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.1.0")
 
-    @property
-    def manual_download_instructions(self):
-        return """\
-  You should download the dataset from https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages
-  The webpage requires registration.
-  After downloading, please put the files in a dir of your choice,
-  which will be used as a manual_dir, e.g. `~/.manual_dirs/senti_lex`
-  SentiLex can then be loaded via:
-  `datasets.load_dataset("newsroom", data_dir="~/.manual_dirs/senti_lex")`.
-  """
-
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
             name=i,
@@ -180,11 +170,7 @@ class SentiLex(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
-        if not os.path.exists(data_dir):
-            raise FileNotFoundError(
-                f"{data_dir} does not exist. Make sure you insert a manual dir via `datasets.load_dataset('newsroom', data_dir=...)` that includes files unzipped from the reclor zip. Manual download instructions: {self.manual_download_instructions}"
-            )
+        data_dir = dl_manager.download_and_extract(_URL)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,