Initial

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/prepare-checkpoint.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1ba72ed3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "t_a = tarfile.open(f\"ethereum_0.tar\", \"r\")\n",
+    "# for itm in t_a:\n",
+    "#     print(dir(itm))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b42aea41",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ls: cannot access '/home/jquave/dev/smart-contract-sanctuary/ethereum/contracts/mainnet/00': No such file or directory\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls ~/dev/smart-contract-sanctuary/ethereum/contracts/mainnet/00"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3969730c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import shutil\n",
+    "import json\n",
+    "import tarfile\n",
+    "\n",
+    "# archive = tarfile.open(\"ethereum.tar\", \"a\")\n",
+    "# archive.add(\"repo/a.git\", arcname=\"a.git\")\n",
+    "# archive.close()\n",
+    "\n",
+    "class A:\n",
+    "    def __init__(self):\n",
+    "        self.n = 0\n",
+    "        self.i = 0\n",
+    "        self.archive = tarfile.open(f\"ethereum_0.tar\", \"a\")\n",
+    "        \n",
+    "    def recursive_dump_sol_to_json(self, root_dir):\n",
+    "        # Traverse the directory and list all .sol files\n",
+    "        path_items = os.listdir(root_dir)\n",
+    "    #     print(path_items)\n",
+    "        # Iterate over the list of .sol files\n",
+    "    #     archive = tarfile.open(f\"ethereum_{tar_split_n}.tar\", \"a\")\n",
+    "        for path_item in path_items:\n",
+    "            self.i = self.i + 1\n",
+    "            if i % 10 == 0:\n",
+    "                print(f\"{self.n}:{root_dir} path_item {path_item}\")\n",
+    "            if path_item == \".\" or path_item == \"..\" or path_item ==\"../\" or path_item == \"./\":\n",
+    "                return\n",
+    "            # Read the contents of the .sol file\n",
+    "            full_path_item = os.path.join(root_dir, path_item)\n",
+    "            if os.path.isdir(full_path_item):\n",
+    "                self.n = self.n + 1\n",
+    "                self.recursive_dump_sol_to_json(full_path_item)\n",
+    "            else:\n",
+    "                if path_item.endswith(\".sol\"):\n",
+    "#                     f=1\n",
+    "                    if self.i > 20_000:\n",
+    "                        self.i = 0\n",
+    "                        self.n = self.n + 1\n",
+    "                        old_archive = self.archive\n",
+    "                        self.archive = tarfile.open(f\"ethereum_{self.n}.tar\", \"a\")\n",
+    "                        old_archive.close()\n",
+    "                    self.archive.add(full_path_item, arcname=f\"{path_item}.txt\")\n",
+    "  \n",
+    "# Driver code\n",
+    "a = A()\n",
+    "root_dir = '../smart-contract-sanctuary/ethereum/contracts/mainnet'\n",
+    "a.recursive_dump_sol_to_json(root_dir)\n",
+    "# archive.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c88f36bc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88b22976",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- en
+multilinguality:
+- monolingual
+pretty_name: EDataset
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- text-generation
+- fill-mask
+task_ids:
+- language-modeling
+- masked-language-modeling
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  config_name: plain_text
+---
+
+## E smol Dataset
+
+This is the card for e smol dataset

e_smol.py

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+# coding=utf-8
+# 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.
+"""E smol Corpus"""
+
+import re
+
+import datasets
+
+
+_CITATION = """\
+@misc{E Dataset,
+  title={E Dataset},
+  author={Jameson Quave},
+  howpublished{\\url{https://huggingface.co/jquave}},
+  year={2023}
+}
+"""
+
+_DESCRIPTION = """\
+An open-source replication of E smol
+"""
+
+_DATA_FILES = ["ethereum_00.tar"]
+
+print(_DATA_FILES)
+
+
+class EDataset(datasets.GeneratorBasedBuilder):
+    """The E dataset."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="plain_text",
+            description="Plain text",
+            version=datasets.Version("1.0.0"),
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({"train": datasets.Value("string")}),
+            homepage="https://huggingface.co/jquave",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        archives = dl_manager.download(_DATA_FILES)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={
+                "archive_iterators": [
+                    dl_manager.iter_archive(archive) for archive in archives
+                ],
+                "iter_archive": dl_manager.iter_archive
+            }),
+        ]
+
+    def _generate_examples(self, archive_iterators, iter_archive):
+        """Yields examples."""
+        for archive_iterator in archive_iterators:
+            for code_path, code_f in archive_iterator:
+                if code_path.endswith(".sol.txt") or code_path.endswith(".sol"):
+                    yield code_path, {"train": re.sub("\n\n\n+", "\n\n", code_f.read().decode("utf-8")).strip()}

ethereum_00.tar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a6907a859304bad93ac69c716494372a5628807a7a83a2dce1bb5b9a45e7ea08
+size 47825562

prepare.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1ba72ed3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "t_a = tarfile.open(f\"ethereum_0.tar\", \"r\")\n",
+    "# for itm in t_a:\n",
+    "#     print(dir(itm))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b42aea41",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ls: cannot access '/home/jquave/dev/smart-contract-sanctuary/ethereum/contracts/mainnet/00': No such file or directory\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls ~/dev/smart-contract-sanctuary/ethereum/contracts/mainnet/00"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3969730c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import shutil\n",
+    "import json\n",
+    "import tarfile\n",
+    "\n",
+    "# archive = tarfile.open(\"ethereum.tar\", \"a\")\n",
+    "# archive.add(\"repo/a.git\", arcname=\"a.git\")\n",
+    "# archive.close()\n",
+    "\n",
+    "class A:\n",
+    "    def __init__(self):\n",
+    "        self.n = 0\n",
+    "        self.i = 0\n",
+    "        self.archive = tarfile.open(f\"ethereum_0.tar\", \"a\")\n",
+    "        \n",
+    "    def recursive_dump_sol_to_json(self, root_dir):\n",
+    "        # Traverse the directory and list all .sol files\n",
+    "        path_items = os.listdir(root_dir)\n",
+    "    #     print(path_items)\n",
+    "        # Iterate over the list of .sol files\n",
+    "    #     archive = tarfile.open(f\"ethereum_{tar_split_n}.tar\", \"a\")\n",
+    "        for path_item in path_items:\n",
+    "            self.i = self.i + 1\n",
+    "            if i % 10 == 0:\n",
+    "                print(f\"{self.n}:{root_dir} path_item {path_item}\")\n",
+    "            if path_item == \".\" or path_item == \"..\" or path_item ==\"../\" or path_item == \"./\":\n",
+    "                return\n",
+    "            # Read the contents of the .sol file\n",
+    "            full_path_item = os.path.join(root_dir, path_item)\n",
+    "            if os.path.isdir(full_path_item):\n",
+    "                self.n = self.n + 1\n",
+    "                self.recursive_dump_sol_to_json(full_path_item)\n",
+    "            else:\n",
+    "                if path_item.endswith(\".sol\"):\n",
+    "#                     f=1\n",
+    "                    if self.i > 20_000:\n",
+    "                        self.i = 0\n",
+    "                        self.n = self.n + 1\n",
+    "                        old_archive = self.archive\n",
+    "                        self.archive = tarfile.open(f\"ethereum_{self.n}.tar\", \"a\")\n",
+    "                        old_archive.close()\n",
+    "                    self.archive.add(full_path_item, arcname=f\"{path_item}.txt\")\n",
+    "  \n",
+    "# Driver code\n",
+    "a = A()\n",
+    "root_dir = '../smart-contract-sanctuary/ethereum/contracts/mainnet'\n",
+    "a.recursive_dump_sol_to_json(root_dir)\n",
+    "# archive.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c88f36bc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88b22976",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

test_e.py

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+import logging
+from datasets import load_dataset
+
+logging.basicConfig(level=logging.INFO)
+
+dataset = load_dataset("./e_smol.py")
+print(dataset["train"][0])
+