license: cc-by-4.0
tags:
- dataset
- news-media
- pointcloud-text
📊 News Media Pointcloud Text preparation notes
Overview
Preparation notes and schema examples for News Media tasks using Pointcloud Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Comments and corrections can be left in the discussion tab.
Intended Use
The repository is suitable for testing the data pipeline, adapting it to a documented source, and preparing controlled research splits. Release status: metadata sample; full source data not bundled. The sample is for schema inspection only and should not be reported as a full training corpus.
Environment
| Item | Value |
|---|---|
| Python | >= 3.9 |
| torch | 2.x |
| safetensors | any recent |
Included Material
dataloader.py— loading, cleaning and split preparation.dataset_infos.json— schema and split metadata.metadata_sample.jsonl— readable records for schema checks.
Processing Choices
| Item | Value |
|---|---|
| Storage format | webdataset |
| Preprocessing | standard |
| Augmentation | none |
| Split strategy | leave one out |
| Sampling | stratified |
| Quality checks | adaptive |
| Labeling | pseudo label |
Data Sources
Source material is referenced but not bundled. Record the source version, retrieval date and any filtering rule so the same rows can be reproduced later.
Risks And Limitations
External sources may be unrepresentative, mis-licensed, or contain sensitive fields. Source review, privacy checks and bias analysis are the user's responsibility before training or redistribution.
Files
dataloader.py— primary artifactREADME.md— this documentationdataset_infos.json— schema metadatametadata_sample.jsonl— schema sampleexamples/sample_usage.py— usage sketch
License
Distributed under the cc-by-4.0 license. External datasets keep their own terms — check them separately.