fix: minor cleanup

test-stuff/dataset_infos.json

@@ -1,94 +0,0 @@
-{
-    "gem_data_split": {
-      "description": " SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers\n to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but\n also determine when no answer is supported by the paragraph and abstain from answering.\n",
-      "citation": "@article{2016arXiv160605250R,\n       author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},\n                 Konstantin and {Liang}, Percy},\n        title = \"{SQuAD: 100,000+ Questions for Machine Comprehension of Text}\",\n      journal = {arXiv e-prints},\n         year = 2016,\n          eid = {arXiv:1606.05250},\n        pages = {arXiv:1606.05250},\narchivePrefix = {arXiv},\n       eprint = {1606.05250},\n}\n",
-      "homepage": "https://rajpurkar.github.io/SQuAD-explorer/",
-      "license": "CC BY-SA 4.0",
-      "features": {
-        "gem_id": {
-          "dtype": "string",
-          "id": null,
-          "_type": "Value"
-        },
-        "id": {
-          "dtype": "string",
-          "id": null,
-          "_type": "Value"
-        },
-        "title": {
-          "dtype": "string",
-          "id": null,
-          "_type": "Value"
-        },
-        "context": {
-          "dtype": "string",
-          "id": null,
-          "_type": "Value"
-        },
-        "question": {
-          "dtype": "string",
-          "id": null,
-          "_type": "Value"
-        },
-        "target": {
-          "dtype": "string",
-          "id": null,
-          "_type": "Value"
-        },
-        "references": [
-          {
-            "dtype": "string",
-            "id": null,
-            "_type": "Value"
-          }
-        ],
-        "answers": {
-          "feature": {
-            "text": {
-              "dtype": "string",
-              "id": null,
-              "_type": "Value"
-            },
-            "answer_start": {
-              "dtype": "int32",
-              "id": null,
-              "_type": "Value"
-            }
-          },
-          "length": -1,
-          "id": null,
-          "_type": "Sequence"
-        }
-      },
-      "post_processed": null,
-      "supervised_keys": null,
-      "task_templates": null,
-      "builder_name": "zillow",
-      "config_name": "sales",
-      "version": {
-        "version_str": "1.0.0",
-        "description": null,
-        "major": 1,
-        "minor": 0,
-        "patch": 0
-      },
-      "splits": {
-        "test": {
-          "name": "test",
-          "num_bytes": 14716686,
-          "num_examples": 13922,
-          "dataset_name": "squad_v2"
-        }
-      },
-      "download_checksums": {
-        "./test.json": {
-          "num_bytes": 15489062,
-          "checksum": "0491481fa9f87b853325955a723f4f016a1b2c7c36102e0f1a6d719cef2f2fe7"
-        }
-      },
-      "download_size": 159207580,
-      "post_processing_size": null,
-      "dataset_size": 150788555,
-      "size_in_bytes": 309996135
-    }
-  }

test-stuff/test.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0491481fa9f87b853325955a723f4f016a1b2c7c36102e0f1a6d719cef2f2fe7
-size 15489062

zillow.py

@@ -352,10 +352,9 @@ class Zillow(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        # Each config file is a JSONL file produced by the config's corresponding python script in the `processors` directory.
         file_path = os.path.join("processed", self.config.name + ".jsonl")
         file_train = dl_manager.download(file_path)
-        # file_test = dl_manager.download(os.path.join(self.config.name, "test.csv"))
-        # file_eval = dl_manager.download(os.path.join(self.config.name, "valid.csv"))
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -365,22 +364,6 @@ class Zillow(datasets.GeneratorBasedBuilder):
                     "split": "train",
                 },
             ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.VALIDATION,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": file_train,  # os.path.join(data_dir, "dev.jsonl"),
-            #         "split": "dev",
-            #     },
-            # ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.TEST,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": file_train,  # os.path.join(data_dir, "test.jsonl"),
-            #         "split": "test",
-            #     },
-            # ),
         ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`