Added dataset loading script and dataset infos

dataset_infos.json

@@ -0,0 +1 @@
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slither-audited-smart-contracts.py

@@ -0,0 +1,187 @@
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# 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.
+
+"""Dataset of Slither audited Solidity Smart Contracts."""
+
+import json
+
+import datasets
+import pandas as pd
+
+_LABELS = {
+    'all': [
+        'uninitialized-state','constant-function-asm', 'locked-ether',
+        'incorrect-shift', 'divide-before-multiply', 'unused-return',
+        'write-after-write', 'reentrancy-no-eth', 'unchecked-lowlevel',
+        'incorrect-equality', 'weak-prng', 'arbitrary-send',
+        'uninitialized-local', 'reentrancy-eth', 'shadowing-abstract',
+        'controlled-delegatecall', 'unchecked-transfer', 'erc20-interface',
+        'controlled-array-length', 'tautology', 'shadowing-state',
+        'tx-origin', 'unprotected-upgrade', 'suicidal',
+        'boolean-cst', 'unchecked-send', 'msg-value-loop',
+        'erc721-interface', 'constant-function-state', 'delegatecall-loop',
+        'mapping-deletion', 'reused-constructor', 'uninitialized-storage',
+        'public-mappings-nested', 'array-by-reference','backdoor',
+        'rtlo', 'name-reused','safe'],
+    'big': ['access-control', 'arithmetic', 'other', 'reentrancy', 'safe', 'unchecked-calls'],
+    'small': ['access-control', 'arithmetic', 'other', 'reentrancy', 'safe', 'unchecked-calls', 'locked-ether', 'bad-randomness', 'double-spending']
+}
+
+
+_CITATION = """\
+@misc{rossini2022slitherauditedcontracts,
+    title = {Slither Audited Smart Contracts Dataset},
+    author={Martina Rossini},
+    year={2022}
+}
+"""
+
+
+_DESCRIPTION = """\
+This dataset contains source code and deployed bytecode for Solidity Smart Contracts \
+that have been verified on Etherscan.io, along with a classification of their vulnerabilities \
+according to the Slither static analysis framework.
+"""
+
+_HOMEPAGE = "https://github.com/mwritescode/slither-audited-smart-contracts"
+
+_LICENSE = "MIT"
+
+
+_URLS = {
+    "raw": [f"data/raw/contracts{i}.parquet" for i in range(9)],
+    "label_mappings": "data/label_mappings.json",
+    "big-splits": "data/big-splits.csv",
+    "small-splits": "data/small-splits.csv"
+}
+
+
+class SlitherAuditedSmartContracts(datasets.GeneratorBasedBuilder):
+    """Slither Audited Smart Contracts dataset, including source code and deployed bytecode"""
+
+    VERSION = datasets.Version("1.1.0")
+
+    # You will be able to load one or the other configurations in the following list with
+    # data = datasets.load_dataset('slither-audited-smart-contracts', 'all-plain-text')
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="all-plain-text", version=VERSION, description="Complete dataset with plain-text slither results"),
+        datasets.BuilderConfig(name="all-multilabel", version=VERSION, description="Complete dataset with slither results as sequence of labels"),
+        datasets.BuilderConfig(name="big-plain-text", version=VERSION, description="Dataset containing only labels having numerous examples with plain-text slither results"),
+        datasets.BuilderConfig(name="big-multilabel", version=VERSION, description="Dataset containing only labels having numerous examples with slither results as a sequence of labels"),
+        datasets.BuilderConfig(name="small-plain-text", version=VERSION, description="Dataset containing only labels having few examples with plain-text slither results"),
+        datasets.BuilderConfig(name="small-multilabel", version=VERSION, description="Dataset containing only labels having few examples with slither results as a sequence of labels")
+    ]
+
+    def _info(self):
+        if "plain-text" in self.config.name: 
+            features = datasets.Features(
+                {
+                    "address": datasets.Value("string"),
+                    "source_code": datasets.Value("string"),
+                    "bytecode": datasets.Value("string"),
+                    "slither": datasets.Value("string"),
+                }
+            )
+        else: 
+            features = datasets.Features(
+                {
+                    "address": datasets.Value("string"),
+                    "source_code": datasets.Value("string"),
+                    "bytecode": datasets.Value("string"),
+                    "slither": datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=_LABELS[self.config.name.split('-')[0]]
+                        )
+                    )
+                    
+                }
+            )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features, 
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URLS)
+
+        generators = [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "train"
+                },
+            )]
+        if self.config.name.split('-')[0] != 'all':
+            generators += [
+                datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "test"
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "val"
+                },
+            )]
+        return generators
+
+    def __elaborate_results(self, slither_res, mappings):
+        if not slither_res["results"]:
+            contract_class = ["safe"]
+        else:
+            contract_class = [elem["check"] for elem in slither_res["results"]["detectors"]]
+            if self.config.name.split('-')[0] != 'all':
+                with open(mappings, 'r') as mappings_file:
+                    class_mappings = json.load(mappings_file)
+                contract_class = list(set([class_mappings[cls] for cls in contract_class]) - {'ignore'})
+                if len(contract_class) == 0:
+                    contract_class = ['safe']
+        return contract_class
+
+
+    def _generate_examples(self, filepath, split):
+        prefix = self.config.name.split('-')[0]
+        split_file = filepath[f"{prefix}-splits"] if prefix != 'all' else None
+
+        for chunk in filepath['raw']:
+            data = pd.read_parquet(chunk)
+            if split_file:
+                split_addrs = pd.read_csv(split_file).query('split == @split')['contracts']
+                data = data[data['contracts'].isin(split_addrs)]
+
+            for idx, row in data.iterrows():
+                if 'plain-text' in self.config.name:
+                    yield idx, {
+                        "address": row['contracts'],
+                        "source_code": row['source_code'],
+                        "bytecode": row['bytecode'],
+                        "slither": row['results'],
+                    }
+                else:
+                    slither = json.loads(row['results'])
+                    contract_classes = self.__elaborate_results(slither, filepath['label_mappings'])
+                    yield idx, {
+                        "address": row['contracts'],
+                        "source_code": row['source_code'],
+                        "bytecode": row['bytecode'],
+                        "slither": contract_classes,
+                    }