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Download README.md from rodriguescarson/adaption-legal-seed: direct link, hf CLI and curl.
- Browser
- Download file 1.73 kB
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https://huggingface.co/datasets/rodriguescarson/adaption-legal-seed/resolve/main/README.md
- Command line
-
hf download hf://datasets/rodriguescarson/adaption-legal-seed/README.md
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curl -L -o README.md https://huggingface.co/datasets/rodriguescarson/adaption-legal-seed/resolve/main/README.md
1.73 kB
metadata
license: cc0-1.0
pretty_name: US Bill Summarisation
language:
- en
task_categories:
- summarization
- text-generation
tags:
- adaption
- autoscientist
- sft
- instruction-tuning
- fine-tuning
- legal
- legislation
- summarization
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data.parquet
source_datasets:
- FiscalNote/billsum
US Bill Summarisation
US Congressional bill text to official summary.
| Rows | 325 |
| Domain | law |
| Format | data.parquet, one row per example |
| Licence | cc0-1.0 |
| Built for | supervised fine-tuning (SFT) experiments on Adaption AutoScientist |
Columns
| Column | Description |
|---|---|
original_prompt |
The prompt (user turn) as uploaded. |
original_completion |
The target response as uploaded. |
enhanced_prompt |
Empty in this dataset. |
enhanced_completion |
Empty in this dataset. |
How it was built
Sampled from BillSum, decontaminated against its test split, uploaded raw.
Sources and licence
- FiscalNote/billsum (CC0-1.0)
Notes
- Columns
enhanced_prompt,enhanced_completionare empty in this dataset (the Adaption export reserves them for rewritten text).
Loading
from datasets import load_dataset
ds = load_dataset("rodriguescarson/adaption-legal-seed", split="train")
import pandas as pd
df = pd.read_parquet("hf://datasets/rodriguescarson/adaption-legal-seed/data.parquet")
Published by Carson Rodrigues (Hugging Face, Kaggle).