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README.md

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+---
+license: apache-2.0
+---
+# Dataset Card for MiningLegalArguments
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [GitHub](https://github.com/trusthlt/mining-legal-arguments)
+- **Repository:**
+- **Paper:** [ArXiv](https://arxiv.org/pdf/2208.06178.pdf)
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@JoelNiklaus](https://github.com/JoelNiklaus) for adding this dataset.

prepare_data.py

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+import ast
+
+import pandas as pd
+
+import os
+from typing import Union
+
+import datasets
+from datasets import load_dataset
+
+
+
+def save_and_compress(dataset: Union[datasets.Dataset, pd.DataFrame], name: str, idx=None):
+    if idx:
+        path = f"{name}_{idx}.jsonl"
+    else:
+        path = f"{name}.jsonl"
+
+    print("Saving to", path)
+    dataset.to_json(path, force_ascii=False, orient='records', lines=True)
+
+    print("Compressing...")
+    os.system(f'xz -zkf -T0 {path}')  # -TO to use multithreading
+
+def parse_to_list(example):
+    example["tokens"] = ast.literal_eval(example["tokens"])
+    example["labels"] = ast.literal_eval(example["labels"])
+    return example
+
+for subset in ["agent", "argType"]:
+    for split in ["train", "val", "test"]:
+        dataset = load_dataset("csv", data_dir=f"original_data/{split}/{subset}", sep="\t", split="train")
+        dataset = dataset.map(parse_to_list)
+        print(dataset[0])
+a        save_and_compress(dataset, f"data/{subset}/{split}")

test.jsonl.xz

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+oid sha256:2d4aa8ebcd19cf98c63f9afeaf0ea85d5ff596edfbbfc09baa2cf371daa607c8
+size 260116

train.jsonl.xz

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+oid sha256:bb36669f1f24f9045ac36a07bc37f1bfee48f031fde37137081b86594e343d3a
+size 2056404

val.jsonl.xz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d91bb9de1f54f010ac12bc0e9d3d3c18e8fc02f325cdad22663e5048acaa45ca
+size 262004