solving URL and local conflicts

sd-nlp.py

@@ -23,7 +23,10 @@ from __future__ import absolute_import, division, print_function
 import json
 import pdb
 import datasets
+import os
+import logger
 
+_BASE_URL = "https://huggingface.co/datasets/EMBO/sd-nlp/resolve/main/"
 
 class SourceDataNLP(datasets.GeneratorBasedBuilder):
     """SourceDataNLP provides datasets to train NLP tasks in cell and molecular biology."""
@@ -67,15 +70,14 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
 
     _LICENSE = "CC-BY 4.0"
 
-    _URLS = {
-        "NER": "https://huggingface.co/datasets/EMBO/sd-nlp/blob/main/sd_panels.zip",
-        "ROLES": "https://huggingface.co/datasets/EMBO/sd-nlp/blob/main/sd_panels.zip",
-        "BORING": "https://huggingface.co/datasets/EMBO/sd-nlp/blob/main/sd_panels.zip",
-        "PANELIZATION": "https://huggingface.co/datasets/EMBO/sd-nlp/blob/main/sd_figs.zip",
-    }
-
     VERSION = datasets.Version("0.0.1")
 
+    _URLS = {
+        "NER": f"{_BASE_URL}sd_panels.zip",
+        "ROLES": f"{_BASE_URL}sd_panels.zip",
+        "BORING": f"{_BASE_URL}sd_panels.zip",
+        "PANELIZATION": f"{_BASE_URL}sd_figs.zip",
+    }
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="NER", version="0.0.1", description="Dataset for entity recognition"),
         datasets.BuilderConfig(name="GENEPROD_ROLES", version="0.0.1", description="Dataset for semantic roles."),
@@ -157,47 +159,41 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager: datasets.DownloadManager):
         """Returns SplitGenerators.
         Uses local files if a data_dir is specified. Otherwise downloads the files from their official url."""
-        if self.config.data_dir:
-            data_dir = self.config.data_dir
+        url = self._URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(url)
+        if self.config.name in ["NER", "GENEPROD_ROLES", "SMALL_MOL_ROLES", "BORING"]:
+            data_dir += "/220304_sd_panels"
+        elif self.config.name == "PANELIZATION":
+            data_dir += "/sd_figs"
         else:
-            url = self._URLS[self.config.name]
-            data_dir = dl_manager.download_and_extract(url)
-            if self.config.name in ["NER", "GENEPROD_ROLES", "SMALL_MOL_ROLES", "BORING"]:
-                data_dir += "/sd_panels"
-            elif self.config.name == "PANELIZATION":
-                data_dir += "/sd_figs"
-            else:
-                raise ValueError(f"unkonwn config name: {self.config.name}")
+            raise ValueError(f"unkonwn config name: {self.config.name}")
+        print(data_dir)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": data_dir + "/train.jsonl",
-                    "split": "train",
-                },
+                    "filepath": data_dir + "/train.jsonl"},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "filepath": data_dir + "/test.jsonl",
-                    "split": "test"},
+                    "filepath": data_dir + "/test.jsonl"},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "filepath": data_dir + "/eval.jsonl",
-                    "split": "eval",
-                },
+                    "filepath": data_dir + "/eval.jsonl"},
             ),
         ]
 
-    def _generate_examples(self, filepath, split):
+    def _generate_examples(self, filepath):
         """Yields examples. This method will receive as arguments the `gen_kwargs` defined in the previous `_split_generators` method.
         It is in charge of opening the given file and yielding (key, example) tuples from the dataset
         The key is not important, it's more here for legacy reason (legacy from tfds)"""
 
         with open(filepath, encoding="utf-8") as f:
+            # logger.info("⏳ Generating examples from = %s", filepath)
             for id_, row in enumerate(f):
                 data = json.loads(row)
                 if self.config.name == "NER":