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Signed-off-by: Diwank Singh <diwank.singh@gmail.com>

.gitattributes

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+*.txt filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text
+*.xml filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: mit
+---
+
+# Hinglish Dump
+
+Raw merged dump of Hinglish (hi-EN) datasets.
+
+## Files
+
+```
+    "crowd_transliteration":
+        "crowd_transliteration/crowd_transliterations.hi-en.txt",
+    
+    "fire2013":
+        "fire2013/HindiEnglish_FIRE2013_AnnotatedDev.txt",
+        "fire2013/HindiEnglish_FIRE2013_Test_GT.txt",
+    
+    "hindi_romanized_dump":
+        "hindi_romanized_dump/hi_rom.txt",
+    
+    "hindi_xlit": 
+        "hindi_xlit/HiEn_ann1_test.json",
+        "hindi_xlit/HiEn_ann1_train.json",
+        "hindi_xlit/HiEn_ann1_valid.json",
+    
+    "hinge": 
+        "hinge/eval_human.csv",
+        "hinge/eval_human.pkl",
+        "hinge/train_human.csv",
+        "hinge/train_human.pkl",
+        "hinge/train_synthetic.csv",
+        "hinge/eval_synthetic.csv",
+    
+    "hinglish_norm": 
+        "hinglish_norm/hinglishNorm_trainSet.json",
+    
+    "news2018": 
+        "news2018/NEWS2018_M-EnHi_tst.xml",
+        "news2018/NEWS2018_M-EnHi_trn.xml",
+        "news2018/NEWS2018_M-EnHi_dev.xml",
+    
+```

data/crowd_transliteration/crowd_transliterations.hi-en.txt

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data/news2018/NEWS2018_M-EnHi_tst.xml

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hinglish-dump.py

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+# hinglish-dump.py
+
+## About: This is a dataset script for diwank/silicone-merged
+## Docs: https://huggingface.co/docs/datasets/dataset_script.html
+
+
+"""Raw merged dump of Hinglish (hi-EN) datasets."""
+
+
+import csv
+import os
+
+import datasets
+
+_DESCRIPTION = """\
+Raw merged dump of Hinglish (hi-EN) datasets.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/diwank/hinglish-dump"
+_LICENSE = "MIT"
+
+_URLS = {
+    "crowd_transliteration": list(map(lambda x: f"{_HOMEPAGE}/resolve/main/data/{x}" , [
+        "crowd_transliteration/crowd_transliterations.hi-en.txt",
+    ])),
+    "fire2013": list(map(lambda x: f"{_HOMEPAGE}/resolve/main/data/{x}" , [
+        "fire2013/HindiEnglish_FIRE2013_AnnotatedDev.txt",
+        "fire2013/HindiEnglish_FIRE2013_Test_GT.txt",
+    ])),
+    "hindi_romanized_dump": list(map(lambda x: f"{_HOMEPAGE}/resolve/main/data/{x}" , [
+        "hindi_romanized_dump/hi_rom.txt",
+    ])),
+    "hindi_xlit": list(map(lambda x: f"{_HOMEPAGE}/resolve/main/data/{x}" , [
+        "hindi_xlit/HiEn_ann1_test.json",
+        "hindi_xlit/HiEn_ann1_train.json",
+        "hindi_xlit/HiEn_ann1_valid.json",
+    ])),
+    "hinge": list(map(lambda x: f"{_HOMEPAGE}/resolve/main/data/{x}/" , [
+        "hinge/eval_human.csv",
+        "hinge/eval_human.pkl",
+        "hinge/train_human.csv",
+        "hinge/train_human.pkl",
+        "hinge/train_synthetic.csv",
+        "hinge/eval_synthetic.csv",
+    ])),
+    "hinglish_norm": list(map(lambda x: f"{_HOMEPAGE}/resolve/main/data/{x}" , [
+        "hinglish_norm/hinglishNorm_trainSet.json",
+    ])),
+    "news2018": list(map(lambda x: f"{_HOMEPAGE}/resolve/main/data/{x}" , [
+        "news2018/NEWS2018_M-EnHi_tst.xml",
+        "news2018/NEWS2018_M-EnHi_trn.xml",
+        "news2018/NEWS2018_M-EnHi_dev.xml",
+    ])),
+}
+
+class HinglishDumpDataset(datasets.GeneratorBasedBuilder):
+    """Raw merged dump of Hinglish (hi-EN) datasets."""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="diwank--hinglish-dump", version=VERSION, description="default config"),
+    ]
+
+    CONFIGS = _URLS.keys()
+
+
+    def _info(self):
+                
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
+        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
+        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
+        urls = [item for sublist in _URLS.values() for item in sublist]
+        data_dir = dl_manager.download_and_extract(urls)
+        return []