all

.gitattributes

@@ -49,3 +49,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+_split_train.py filter=lfs diff=lfs merge=lfs -text
+diacritic.py filter=lfs diff=lfs merge=lfs -text

_split_train.py

@@ -1,87 +1,3 @@
-import os, json, gzip
-
-def zip_file(lines, dest_file):
-        print(f"Zipping {dest_file} ... ")
-        with gzip.open(dest_file, 'wt') as w:
-            w.writelines(lines)
-        print(f"    .... done.")
-
-def split_train(MB_PER_FILE = 100):
-    print("Splitting TRAIN into shards with {} MB per file:".format(MB_PER_FILE))
-
-    os.makedirs("data", exist_ok=True)
-
-    print("Working ...")
-    cnt = 0
-    lid = 0
-    shard = 0
-    cutoff = MB_PER_FILE * 1000 * 1000
-    accumulator = []
-    line_cnt = 0
-    with open("train.txt", "r", encoding="utf8") as f:
-        for line in f:
-            line_cnt += 1
-            if line_cnt % 1000000 == 0:
-               print(f"\t{line_cnt/1000000:.2f}M lines, at shard {shard} ... ")
-            cnt += len(line)
-
-            data = {
-                 "id": lid,
-                 "text": line.strip()
-            }
-            accumulator.append(json.dumps(data, ensure_ascii=False)+"\n")
-            lid += 1
-
-            if cnt > cutoff:
-                zip_file(accumulator, os.path.join("data", "train-"+str(shard).zfill(3) + ".json.gz"))
-                cnt = 0
-                accumulator = []
-                shard += 1
-
-    # flush buffer
-    zip_file(accumulator, os.path.join("data", "train-"+str(shard).zfill(3) + ".json.gz"))
-    shard += 1
-
-    print("Done, wrote {} files.".format(shard))
-
-def write_valid():
-    # do valid
-    cnt = 0
-    lid = 0
-    accumulator = []
-    with open("valid.txt", "r", encoding="utf8") as f:
-       for line in f:
-           cnt += len(line)
-           data = {
-               "id": lid,
-               "text": line.strip()
-           }
-           accumulator.append(json.dumps(data, ensure_ascii=False)+"\n")
-           lid += 1
-
-    zip_file(accumulator, os.path.join("data", "valid-000.json.gz"))
-
-def split_into_train_and_valid(percent=0.01):
-    import random
-    import ftfy
-    import tqdm
-    train_file = open("train.txt", "w", encoding="utf8")
-    valid_file = open("valid.txt", "w", encoding="utf8")
-    with open("corpus-diac.txt", "r", encoding="utf8") as f:
-         cnt = 0
-         for line in tqdm.tqdm(f):
-             cnt += 1
-             if cnt < 2000000:
-                 continue
-             line = ftfy.fix_text(line.strip())+"\n"
-             if random.random() <= percent:
-                 valid_file.write(line)
-             else:
-                 train_file.write(line)
-    train_file.close()
-    valid_file.close()
-
-#split_into_train_and_valid()
-os.makedirs("data", exist_ok=True)
-write_valid() # do valid
-split_train() # do train
+version https://git-lfs.github.com/spec/v1
+oid sha256:62516c206bf1f6239cd687f2c95169b1d4f264ab54dee0187f86677116afecd1
+size 2556

diacritic.py

@@ -1,61 +1,3 @@
-import json
-import datasets
-import gzip
-
-logger = datasets.logging.get_logger(__name__)
-_DESCRIPTION = """\\nRomanian diacritic dataset"""
-_CITATION = """n/a"""
-
-_URL = "https://github.com/dumitrescustefan/diacritic"
-_DATA_URL = "https://huggingface.co/datasets/dumitrescustefan/diacritic/resolve/main/data/{split_suffix}-{index:03d}.json.gz"
-_N_SHARDS_PER_SPLIT = {
-    "train": 78, "validation": 1
-}
-
-class RLM(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="v1", version="1.0.0", description="v1.0 of romanian diacritic corpus"),
-    ]
-
-    DEFAULT_CONFIG_NAME = "v1"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("int64"),
-                    "text": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_URL,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_urls = {}
-        for split in ["train", "validation"]:
-            data_urls[split] = [
-                _DATA_URL.format(split_suffix=split, index=iindex) for iindex in range(_N_SHARDS_PER_SPLIT[split])
-                    ]
-
-        train_downloaded_files = dl_manager.download(data_urls["train"])
-        validation_downloaded_files = dl_manager.download(data_urls["validation"])
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_downloaded_files}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepaths": validation_downloaded_files}),
-               ]
-
-    def _generate_examples(self, filepaths):
-        """This function returns the examples in the raw (text) form by iterating on all the files."""
-        id_ = 0
-        for filepath in filepaths:
-            logger.info("generating examples from = %s", filepath)
-            with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
-                for line in f:
-                    if line:
-                        example = json.loads(line)
-                        yield id_, example
-                        id_ += 1
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1dd36e7deba840b87837b54d3d4096dce3875b307679aad76ecebfe8d53cdc0
+size 2260