Create README.md

README.md

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+---
+task_categories:
+- translation
+language:
+- en
+- ja
+---
+
+# Dataset Card for JParaCrawl 
+### Dataset Summary
+
+Cleaned JParaCrawl data.
+For more information, see website below!
+[https://www.kecl.ntt.co.jp/icl/lirg/jparacrawl/]
+
+JParaCrawl is the largest publicly available English-Japanese parallel corpus created by NTT.
+It was created by largely crawling the web and automatically aligning parallel sentences.
+
+### How to use
+
+```
+from datasets import load_dataset
+dataset = load_dataset("Hoshikuzu/JParaCrawl")
+```
+If data loading times are too long and boring, use Streaming.
+
+```
+from datasets import load_dataset
+dataset = load_dataset("Hoshikuzu/JParaCrawl", streaming=True)
+```
+
+### Data Instances
+For example:
+
+```json
+{
+        'id': 0,
+        'score': 1.2499920129776,
+        'translation': {
+            'en': 'Such is God’s forgiveness.',
+            'ja': 'それは神の赦しの故だ。'
+        }
+  }
+```
+### Licensing Information ###
+JESC is distributed under its own licence.
+Check the [https://www.kecl.ntt.co.jp/icl/lirg/jparacrawl/].
+
+### Data Splits
+Only a `train` split is provided.
+
+### Citation Information ###
+```json
+@inproceedings{morishita-etal-2020-jparacrawl,
+    title = "{JP}ara{C}rawl: A Large Scale Web-Based {E}nglish-{J}apanese Parallel Corpus",
+    author = "Morishita, Makoto  and
+      Suzuki, Jun  and
+      Nagata, Masaaki",
+    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
+    month = may,
+    year = "2020",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://www.aclweb.org/anthology/2020.lrec-1.443",
+    pages = "3603--3609",
+    ISBN = "979-10-95546-34-4",
+}
+```