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readme.md

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+---
+license: mit
+task_categories:
+- tabular-classification
+- tabular-to-text
+language:
+- en
+tags:
+- ice
+- immigration
+- press-releases
+- journalism
+- nlp
+- news
+pretty_name: ice
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: index.jsonl
+- config_name: html
+  data_files:
+  - split: train
+    path: train.jsonl
+---
+
+# Dataset Card for ICE Press Releases
+
+A structured dataset of 965 press releases published by U.S. Immigration and Customs Enforcement (ICE), scraped from [ice.gov](https://www.ice.gov/news/releases). 
+Created by [Big Local News](https://biglocalnews.org/) at Stanford University.
+This dataset gives journalists a machine-readable record of ICE's own public statements about enforcement actions.
+
+## Dataset Details
+
+### Dataset Description
+
+ICE administrative data logs arrests, removals, and transfers but includes very little detail about individuals. 
+Press releases are different: ICE routinely names people, lists ages, nationalities, and charges, and describes the specifics of each action in narrative form. 
+This dataset captures that text in structured fields alongside extracted metadata, making it useful for named entity recognition, information extraction, and accountability journalism.
+The corpus is skewed toward 2025 and 2026 (956 of 965 records), reflecting the surge in ICE enforcement activity and press release volume during that period.
+
+### Dataset Sources
+
+- **Source:** [ICE Newsroom, Press Releases](https://www.ice.gov/news/releases)
+
+## Dataset Structure
+
+Each row represents one ICE press release.
+
+| Field | Type | Coverage | Description |
+|---|---|---|---|
+| `url` | string | 100% | Source URL on ice.gov |
+| `title` | string | 100% | Press release headline |
+| `subtitle` | string | 18% | Subtitle or secondary headline (sparse) |
+| `topics` | string | 99.9% | ICE topic category (see Topics section below) |
+| `date_raw` | string | 99.9% | Original date string as published |
+| `date_normalized` | string | 99.9% | Date normalized to `MM/DD/YYYY` |
+| `date_last_updated` | string | 100% | Date the page was last updated on ice.gov |
+| `location_full_text` | string | 98% | Full location string from the press release dateline |
+| `city` | string | 99.9% | City extracted from location |
+| `state` | string | 99.9% | State abbreviation extracted from location |
+| `full_text` | string | 99.9% | Full body text of the press release |
+| `image_urls` | string | 54% | URLs of images embedded in the press release |
+| `scraped_at` | string | 100% | ISO 8601 timestamp of when the page was scraped |
+| `blurb_list` | string | 0% | Not populated; reserved for future use |
+| `updated_date` | string | 0% | Not populated; reserved for future use |
+
+`html.jsonl` holds the raw source HTML for each press release and joins to the structured records above on `url`.
+
+## Information
+
+### Project Background
+
+This dataset is Project 1 of two pitches submitted by Big Local News for the Datathon for Social Good 2026. 
+
+**Deliverable:**
+- A structured dataset identifying the date, time, and location of each enforcement action described in a press release, along with as much identifying information as possible about individuals targeted e.g., name, age, sex, country of origin, etc.
+- A data processing pipeline that can extract this type of data from press releases published in the future
+
+### File Guide
+
+| File | Description |
+|---|---|
+| `index.jsonl` | Primary structured dataset, 965 records, 15 fields (used by the `default` config) |
+| `index.csv` | Same structured dataset as a CSV, for manual download / spreadsheet use (not loaded by `datasets`) |
+| `train.jsonl` | 965 raw HTML source pages scraped from ice.gov, one JSON object per line: `{"url": ..., "html": ...}` |
+
+## Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("stanforddams/biglocal/")
+html = load_dataset("stanforddams/biglocal/", "html")
+```
+
+## Dataset Card Contact
+
+Ryan Pitts, Managing Director, Big Local News
+ryanpitts@stanford.edu