diff --git a/torchtext/datasets/__init__.py b/torchtext/datasets/__init__.py
index 5fda4a8451..d7d33298ad 100644
--- a/torchtext/datasets/__init__.py
+++ b/torchtext/datasets/__init__.py
@@ -3,6 +3,7 @@
 from .ag_news import AG_NEWS
 from .amazonreviewfull import AmazonReviewFull
 from .amazonreviewpolarity import AmazonReviewPolarity
+from .cc100 import CC100
 from .conll2000chunking import CoNLL2000Chunking
 from .dbpedia import DBpedia
 from .enwik9 import EnWik9
@@ -26,6 +27,7 @@
     "AG_NEWS": AG_NEWS,
     "AmazonReviewFull": AmazonReviewFull,
     "AmazonReviewPolarity": AmazonReviewPolarity,
+    "CC100": CC100,
     "CoNLL2000Chunking": CoNLL2000Chunking,
     "DBpedia": DBpedia,
     "EnWik9": EnWik9,
diff --git a/torchtext/datasets/cc100.py b/torchtext/datasets/cc100.py
new file mode 100644
index 0000000000..0e8f55e589
--- /dev/null
+++ b/torchtext/datasets/cc100.py
@@ -0,0 +1,56 @@
+import os.path
+
+from typing import Union, Tuple
+
+from torchtext._internal.module_utils import is_module_available
+
+if is_module_available("torchdata"):
+    from torchdata.datapipes.iter import FileOpener, HttpReader, IterableWrapper
+
+from torchtext.data.datasets_utils import (
+    _create_dataset_directory,
+    _wrap_split_argument
+)
+
+URL = "http://data.statmt.org/cc-100/%s.txt.xz"
+
+VALID_CODES = {
+    "am", "ar", "as", "az", "be", "bg", "bn", "bn_rom", "br", "bs", "ca", "cs", "cy", "da", "de",
+    "el", "en", "eo", "es", "et", "eu", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gn", "gu",
+    "ha", "he", "hi", "hi_rom", "hr", "ht", "hu", "hy", "id", "ig", "is", "it", "ja", "jv", "ka",
+    "kk", "km", "kn", "ko", "ku", "ky", "la", "lg", "li", "ln", "lo", "lt", "lv", "mg", "mk", "ml",
+    "mn", "mr", "ms", "my", "my_zaw", "ne", "nl", "no", "ns", "om", "or", "pa", "pl", "ps", "pt",
+    "qu", "rm", "ro", "ru", "sa", "si", "sc", "sd", "sk", "sl", "so", "sq", "sr", "ss", "su", "sv",
+    "sw", "ta", "ta_rom", "te", "te_rom", "th", "tl", "tn", "tr", "ug", "uk", "ur", "ur_rom", "uz",
+    "vi", "wo", "xh", "yi", "yo", "zh-Hans", "zh-Hant", "zu",
+}
+
+NUM_LINES = None
+MD5 = None
+
+DATASET_NAME = "CC100"
+
+
+@_create_dataset_directory(dataset_name=DATASET_NAME)
+@_wrap_split_argument(("train",))
+def CC100(root: str, split: Union[Tuple[str], str], language_code: str = "en"):
+    if language_code not in VALID_CODES:
+        raise ValueError(f"Invalid language code {language_code}")
+
+    url = URL % language_code
+    url_dp = IterableWrapper([url])
+    cache_compressed_dp = url_dp.on_disk_cache(
+        filepath_fn=lambda x: os.path.join(root, os.path.basename(url))
+    )
+
+    cache_compressed_dp = HttpReader(cache_compressed_dp)
+    cache_compressed_dp = cache_compressed_dp.end_caching(mode="wb", same_filepath_fn=True)
+
+    cache_decompressed_dp = cache_compressed_dp.on_disk_cache(
+        filepath_fn=lambda x: os.path.join(root, os.path.basename(x).rstrip(".xz"))
+    )
+    cache_decompressed_dp = FileOpener(cache_decompressed_dp, mode="b").read_from_xz()
+    cache_decompressed_dp = cache_decompressed_dp.end_caching(mode="wb")
+
+    data_dp = FileOpener(cache_decompressed_dp, mode="r").readlines(return_path=False)
+    return data_dp.map(lambda x: (language_code, x))