init

dataset_infos.json

@@ -0,0 +1,52 @@
+{
+    "abstracts": {
+        "description": "Abstracts from TREx dataset",
+        "citation": "",
+        "homepage": "",
+        "license": "",
+        "supervised_keys": null,
+        "builder_name": "ftrace",
+        "config_name": "abstracts",
+        "version": {
+            "version_str": "0.0.2",
+            "description": null,
+            "datasets_version_to_prepare": null,
+            "major": 0,
+            "minor": 0,
+            "patch": 2
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 473823085,
+                "num_examples": 1560453,
+                "dataset_name": "abstracts"
+            }
+        }
+    },
+    "queries": {
+        "description": "Queries from TREx dataset",
+        "citation": "",
+        "homepage": "",
+        "license": "",
+        "supervised_keys": null,
+        "builder_name": "ftrace",
+        "config_name": "queries",
+        "version": {
+            "version_str": "0.0.2",
+            "description": null,
+            "datasets_version_to_prepare": null,
+            "major": 0,
+            "minor": 0,
+            "patch": 2
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 5426318,
+                "num_examples": 31479,
+                "dataset_name": "abstracts"
+            }
+        }
+    }
+}

ftrace.py

@@ -0,0 +1,162 @@
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""The FTRACE benchmark."""
+
+
+import json
+import os
+from multiprocessing.sharedctypes import Value
+import datasets
+
+
+_FTRACE_CITATION = """\
+"""
+
+_FTRACE_DESCRIPTION = """\
+    Factual Tracing Dataset
+"""
+
+_FTRACE_ABSTRACTS_DESCRIPTION = """\
+    Abstracts based on TREx dataset.
+"""
+
+
+_FTRACE_ABSTRACTS_CITATION = """\
+"""
+
+_FTRACE_QUERIES_DESCRIPTION = """\
+    Queries based on LAMA dataset.
+"""
+
+_FTRACE_QUERIES_CITATION = """\
+"""
+
+
+class FTRACEConfig(datasets.BuilderConfig):
+    """BuilderConfig for FTRACE."""
+
+    def __init__(
+        self,
+        features,
+        data_url,
+        citation,
+        url,
+        **kwargs,
+    ):
+        """BuilderConfig for FTRACE.
+        Args:
+          features: `list[string]`, list of the features that will appear in the
+            feature dict. Should not include "label".
+          data_url: `string`, url to download the zip file from.
+          citation: `string`, citation for the data set.
+          url: `string`, url for information about the data set.
+          **kwargs: keyword arguments forwarded to super.
+        """
+        # Version history:
+        # 0.0.2: Initial version.
+        super(FTRACEConfig, self).__init__(
+            version=datasets.Version("0.0.2"), **kwargs
+        )
+        self.features = features
+        self.data_url = data_url
+        self.citation = citation
+        self.url = url
+
+
+class FTRACE(datasets.GeneratorBasedBuilder):
+    """The SuperFTRACE benchmark."""
+
+    BUILDER_CONFIGS = [
+        FTRACEConfig(
+            name="abstracts",
+            description=_FTRACE_ABSTRACTS_DESCRIPTION,
+            features=[
+                "inputs_pretokenized",
+                "targets_pretokenized",
+                "masked_uri",
+                "masked_type",
+                "facts",
+                "id",
+                "example_uris",
+                "page_uri",
+            ],
+            data_url=(
+                "https://people.csail.mit.edu/akyurek/ftrace/abstracts.zip"
+            ),
+            citation=_FTRACE_ABSTRACTS_CITATION,
+            url="",
+        ),
+        FTRACEConfig(
+            name="queries",
+            description=_FTRACE_QUERIES_DESCRIPTION,
+            features=[
+                "inputs_pretokenized",
+                "targets_pretokenized",
+                "uuid",
+                "obj_uri",
+                "sub_uri",
+                "predicate_id",
+                "sub_surface",
+                "obj_surface",
+            ],
+            data_url="https://people.csail.mit.edu/akyurek/ftrace/queries.zip",
+            citation=_FTRACE_QUERIES_CITATION,
+            url="",
+        ),
+    ]
+
+    def _info(self):
+        features = {
+            feature: datasets.Value("string")
+            for feature in self.config.features
+        }
+
+        return datasets.DatasetInfo(
+            description=_FTRACE_DESCRIPTION + self.config.description,
+            features=datasets.Features(features),
+            homepage=self.config.url,
+            citation=self.config.citation + "\n" + _FTRACE_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        dl_dir = dl_manager.download_and_extract(self.config.data_url) or ""
+        task_name = _get_task_name_from_data_url(self.config.data_url)
+        dl_dir = os.path.join(dl_dir, task_name)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_file": os.path.join(dl_dir, "train.jsonl"),
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, data_file, split):
+        with open(data_file, encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                row = json.loads(line)
+                yield idx, row
+
+
+def _get_task_name_from_data_url(data_url):
+    if "queries" in data_url:
+        return "queries"
+    elif "abstracts" in data_url:
+        return "abstracts"
+
+    return "queries"