add tsv

iceErrorCorpus.py

@@ -12,10 +12,9 @@ Icelandic GEC corpus.
 The Icelandic Error Corpus (IceEC) is a collection of texts in modern Icelandic annotated for mistakes related to spelling, grammar, and other issues. The texts are organized by genre, if which there are three: student essays, online news texts and Icelandic Wikipedia articles. Each mistake is marked according to error type using an error code, of which there are 253. The corpus consists of 4,046 texts with 56,956 categorized error instances. The corpus is divided into a development corpus, which comprises 90% of the corpus, and a test corpus, which comprises the other 10% of the corpus.
 """
 
-# TODO: Add a link to an official homepage for the dataset here
 _HOMEPAGE = "https://repository.clarin.is/repository/xmlui/handle/20.500.12537/105"
 
-CITATION = """
+_CITATION = """
         @misc{20.500.12537/105,
         title = {Icelandic Error Corpus ({IceEC}) Version 1.1},
         author = {Ingason, Anton Karl and Stef{\'a}nsd{\'o}ttir, Lilja Bj{\"o}rk and Arnard{\'o}ttir, {\TH}{\'o}runn and Xu, Xindan},
@@ -24,35 +23,18 @@ CITATION = """
         copyright = {Creative Commons - Attribution 4.0 International ({CC} {BY} 4.0)},
         year = {2021} }
     """
-
-# TODO: Add the licence for the dataset here if you can find it
+ 
+ # TODO: Add the licence for the dataset here if you can find it
 _LICENSE = "CC BY 4.0"
 
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace dataset library don't host the datasets but only point to the original files
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _URLS = {
-    "train": "train.csv",
-    "dev": "valid.csv",
-    "test": "test.csv",
+    "train": "train.tsv",
+    "dev": "valid.tsv",
+    "test": "test.tsv",
 
 }
 
-class Squad(datasets.GeneratorBasedBuilder):
-    """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        downloaded_files = dl_manager.download_and_extract(_URLS)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["test"]}),
-        ]
-
-
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class NewDataset(datasets.GeneratorBasedBuilder):
+class iceErrorCorpus(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""
 
     VERSION = datasets.Version("1.0.0")
@@ -74,6 +56,8 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         ),
     ]
 
+    DEFAULT_CONFIG_NAME = "iceErrorCorpus"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
         if self.config.name == "iceErrorCorpus":  # This is the name of the configuration selected in BUILDER_CONFIGS above
@@ -81,6 +65,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 {
                     "src": datasets.Value("string"),
                     "tgt": datasets.Value("string"),
+                    # These are the features of your dataset like images, labels ...
                 }
             )
 
@@ -109,14 +94,13 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # 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
-        my_urls = _URLs[self.config.name]
-        data_dir = dl_manager.download_and_extract(my_urls)
+        data_dir = dl_manager.download_and_extract(_URLS)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.tsv"),
+                    "filepath": data_dir["train"],
                     "split": "train",
                 },
             ),
@@ -124,7 +108,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "test.tsv"),
+                    "filepath": data_dir["test"],
                     "split": "test"
                 },
             ),
@@ -132,7 +116,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "valid.tsv"),
+                    "filepath": data_dir["dev"],
                     "split": "dev",
                 },
             ),
@@ -146,10 +130,13 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # The `key` is here for legacy reason (tfds) and is not important in itself.
 
         with open(filepath, encoding="utf-8") as f:
-            for id_, row in enumerate(f):
-                data = json.loads(row)
+            key = 0
+            tsv_f = csv.reader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
+            for row in tsv_f:
+                print(row)
                 if self.config.name == "iceErrorCorpus":
-                    yield id_, {
-                        "src": data["src"],
-                        "tgt": data["tgt"],
+                    yield key, {
+                        "src": row[0],
+                        "tgt": row[1],
                     }
+                key += 1

test.csv

@@ -1,3 +1,3 @@
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-oid sha256:a076ab8a1828d2a5df9fd295e3055d34bc2acf4ad5021efd61d4cc9a9a08b64b
-size 1304324
+oid sha256:57e00bd6a3f45c59b67a4da8e767395d84fdc6c7245724c09f159a38b7085b71
+size 1318536

test.tsv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:066091e430aa1302e5694020ca3270a0a8f5b15692e039309e5175558a2eaa29
+size 1297282

train.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8bfc65bf7637a00ff6e77904d1ad9f13dde051c68ce5ba80519dce5058c95844
-size 13069777
+oid sha256:616040d210408dafb16cc4e4a83cf8f8e5487dbb6efb815809bcdf66232da5ae
+size 13218207

train.tsv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6fbe25a0809372e9d18c16ea84cd80ae0167a473a3e4668a70feb25b35cac110
+size 13003003

valid.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d72e99904d69141872f1151ba443bb6a7ffcc57576575b93b3ecb6f50a0c834c
-size 1222986
+oid sha256:01e0456ed668b5655ade42a9b3f648dd2573683941f287c24130532fd25f6e61
+size 1237256

valid.tsv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b4a359c468c16c9c64998c7ce9d37962fddbb291562fecf43caf08a57101a41
+size 1217078