---
task_categories:
- text-generation
- question-answering
language:
- en
---
# HTD Scraped Datasets

Cleaned text chunks from Home Team Department (HTD) agency websites, processed into a consistent 8-column format for downstream tasks (QA pairs annotation, fine-tuning, etc.)

## Schema

| Column | Type | Description |
|--------|------|-------------|
| `chunk_text` | str | Cleaned text chunk (40-650 words) |
| `source_url` | str | Original page URL |
| `page_title` | str | Page title |
| `section_headers` | str | Section heading path |
| `heading_path` | str | Hierarchical path from site structure |
| `content_type` | str | `guide`, `press_release`, `faq`, `service_index`, or `event` |
| `last_updated` | str | Article date or scrape date |
| `word_count` | int | Word count of chunk_text |

## Datasets

| Agency | File | Rows | Source |
|--------|------|------|--------|
| HTX (Home Team Science & Technology Agency) | `htx_dataset_cleaned.parquet` | 59 | htx.gov.sg |
| MHA (Ministry of Home Affairs) | `mha_dataset_cleaned.parquet` | 6,149 | mha.gov.sg |
| SPF (Singapore Police Force) | `spf_dataset_cleaned.parquet` | 6,191 | police.gov.sg |
| CNB (Central Narcotics Bureau) | `cnb_dataset_cleaned_060526.csv` | 518 | cnb.gov.sg |
| ICA (Immigration & Checkpoints Authority) | `ica_dataset_cleaned_060526.csv` | 896 | ica.gov.sg |
| SPS (Singapore Prison Service) | `sps_filtered_qa_utf8.csv` | 766 | sps.gov.sg |

## Usage

```python
import pandas as pd

# Load a single dataset
df = pd.read_parquet("htx_dataset_cleaned.parquet")
print(df.head())
```

Or load via HuggingFace `datasets`:

```python
from datasets import load_dataset

# Load a specific config
ds = load_dataset("ops-tuned-llm/unlabelled-data")
```