transfer htmls to parquet

README.md

@@ -1,3 +1,47 @@
----
-license: mit
----
+# Phishing Dataset (Parquet)
+
+## Dataset Summary
+This dataset contains HTML pages labeled as benign or malicious, collected from confirmed phishing URLs reported on PhishTank across 2018-2020. The data here is a direct conversion of the Kaggle dataset "phishing-dataset" by **asifejazitu** into a Hugging Face-compatible Parquet file.
+
+## Data Files
+- `train.parquet`
+- `validation.parquet`
+- `test.parquet`
+
+## Data Fields
+- `text` (string): HTML content of the page.
+- `label` (class): `benign` or `malicious`.
+- `year` (int32): year extracted from the folder structure (2018, 2019, 2020).
+- `path` (string): original file path in the extracted dataset.
+
+## Data Splits
+- `train`: 305,470 examples.
+- `validation`: 38,184 examples.
+- `test`: 38,184 examples.
+
+Splits are created with stratified sampling to keep benign/malicious proportions consistent across splits.
+
+## Source Data
+Original dataset on Kaggle:
+https://www.kaggle.com/datasets/asifejazitu/phishing-dataset
+
+The authors note the pages were extracted from confirmed phishing URLs reported on PhishTank:
+https://phishtank.org/
+
+## Citation
+If you use this dataset, please cite the original sources:
+
+```bibtex
+@misc{asifejazitu_phishing_dataset_2023,
+  title = {Phishing Dataset},
+  author = {asifejazitu},
+  howpublished = {Kaggle Dataset},
+  year = {2023},
+  url = {https://www.kaggle.com/datasets/asifejazitu/phishing-dataset}
+}
+
+@misc{phishtank,
+  title = {PhishTank},
+  howpublished = {https://phishtank.org/}
+}
+```

Readme.md

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+Dataset folder structure is as follows:
+
+Benign
+	2018
+	2019
+	2020
+Malicious
+	2018
+	2019
+	2020
+
+These folders contain html code files. 
+These files were extracted using GET request to the confirmed phishing URLs reported on PhishTank website over the course of three years.
+Then Data is pre-processed to eliminate anomlous , blank and duplicated pages, remaining clean pages  that are used for expereiments are reported in the menuscript.
+HTML pages were converted into vectors using Facebook pre-trained Word-Embedding model FastText for efficient processing and Model training. 
+
+Data is also available at :
+https://drive.google.com/drive/folders/1wPpIF0waGdCkuNQ1TkvHWsUcVVkYJtBo?usp=share_link

dataset_info.json

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+{
+  "citation": "@misc{asifejazitu_phishing_dataset_2023,\n  title = {Phishing Dataset},\n  author = {asifejazitu},\n  howpublished = {Kaggle Dataset},\n  year = {2023},\n  url = {https://www.kaggle.com/datasets/asifejazitu/phishing-dataset}\n}\n@misc{phishtank,\n  title = {PhishTank},\n  howpublished = {https://phishtank.org/}\n}",
+  "description": "HTML pages collected from confirmed phishing URLs reported on PhishTank (2018-2020), cleaned to remove anomalous, blank, and duplicated pages. This parquet dataset is a direct conversion of the Kaggle dataset 'phishing-dataset' by asifejazitu, split into train/validation/test with stratified label proportions.",
+  "features": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "label": {
+      "names": [
+        "benign",
+        "malicious"
+      ],
+      "_type": "ClassLabel"
+    },
+    "year": {
+      "dtype": "int32",
+      "_type": "Value"
+    },
+    "path": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "https://www.kaggle.com/datasets/asifejazitu/phishing-dataset",
+  "license": "unknown",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 4676208445,
+      "num_examples": 305470
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 621203189,
+      "num_examples": 38184
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 596733527,
+      "num_examples": 38184
+    }
+  }
+}

test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d6387554e6bc0df09530411aebb5de1f4819848e76a9c974af386fe24db60783
+size 596733527

train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3cdd932d8c2e4589d8bca091dd5764476df06417cec4732a832a4b79c3a283d8
+size 4676208445

validation.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:62ac995787f464906038ccc041802055d1f4fa8debe88ed7abbf657d9667a375
+size 621203189