change path to work in colab

dataset_infos.json

@@ -0,0 +1 @@
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The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "gem_parent_id": {"dtype": "string", "id": null, "_type": "Value"}, "source_language": {"dtype": "string", "id": null, "_type": "Value"}, "target_language": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "cs", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 14210116, "num_examples": 5033, "dataset_name": "wiki_lingua"}, "validation": {"name": "validation", "num_bytes": 4252058, "num_examples": 1436, "dataset_name": "wiki_lingua"}, "crosslingual_test": {"name": "crosslingual_test", "num_bytes": 3235600019, "num_examples": 1042862, "dataset_name": "wiki_lingua"}, "multilingual_sampled_test": {"name": "multilingual_sampled_test", "num_bytes": 157577507, "num_examples": 48238, "dataset_name": "wiki_lingua"}, "multilingual_test": {"name": "multilingual_test", "num_bytes": 452829927, "num_examples": 154262, "dataset_name": "wiki_lingua"}, "crosslingual_sampled_test": {"name": "crosslingual_sampled_test", "num_bytes": 2071198183, "num_examples": 634520, "dataset_name": "wiki_lingua"}}, "download_checksums": {"wikilingua_GEM_v2.tar.gz": {"num_bytes": 2375490543, "checksum": "340ae286e674c4c138f5412a14694e10130d8e7f4722feefe0987d71c7918a1c"}}, "download_size": 2375490543, "post_processing_size": null, "dataset_size": 5935667810, "size_in_bytes": 8311158353}, "hi_it": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. 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wiki_lingua.py

@@ -43,7 +43,7 @@ _HOMEPAGE = "https://github.com/esdurmus/Wikilingua"
 
 _LICENSE = "CC BY-NC-SA 3.0"
 
-_URL = "./wikilingua_GEM_v2.tar.gz"
+_URL = "wikilingua_GEM_v2.tar.gz"
 
 VERSION = datasets.Version("2.0.0")
 
@@ -118,7 +118,7 @@ class WikilinguaConfig(datasets.BuilderConfig):
             self.mode = name
             self.source_lang = None
             self.target_lang = None
-            description = f"Wikilingua summarisation data ({self.mode};  all instances)"
+            description = f"Wikilingua summarization data ({self.mode};  all instances)"
         else:
             if len(eles) == 1:
                 mode = WikilinguaModes.MULTILINGUAL