File size: 5,187 Bytes
7423643 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff 7779e2f 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 59eb2ff e2d3390 a90807b 8ab602a 59eb2ff a90807b 59eb2ff 8ab602a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 |
---
datasets:
- kaggle
language:
- en
task_categories:
- text-classification
- text-retrieval
- time-series-forecasting
pretty_name: "UFO Sightings Unified Semantic Dataset"
size_categories:
- 100K<n<1M
license: mit
tags:
- ufo
- ufology
- anomalous-phenomena
- embeddings
- hdbscan
- semantic-search
- cluster-analysis
- dataset
- geospatial
- moon-illumination
- aviation
---
# **UFO Sightings – Cleaned & Unified Dataset (~327k rows)**
This dataset merges several publicly available UFO sighting datasets from Kaggle into one **cleaned**, **standardized**, and **enriched** file.
The goal is simply to provide a consolidated dataset instead of many fragmented sources with inconsistent formatting.
This release contains **a single JSONL file** with approximately **327,000 records**.
No private or identifying information was present in the original data.
---
## **📦 Source**
All entries originate from publicly available UFO sighting datasets on **Kaggle**.
Each row corresponds to a single reported sighting.
Source Files located in source folder
---
## **🧹 Cleaning / Normalization Performed**
All rows in this unified file were standardized using the same basic rules:
* timestamps parsed and converted into a consistent `t_utc` (ISO-8601, UTC)
* city/state/country fields harmonized where possible
* latitude/longitude coerced to floats
* basic HTML/unicode cleanup in free-text descriptions (`text`)
* invalid or fully unparseable rows removed
* source field preserved as `src`
No interpretation or filtering based on content was performed.
---
## **✨ Added Contextual Fields**
A small number of lightweight “sidecar” fields were added based on timestamp + coordinates:
* **`moon_illum`** — moon illumination fraction
* **`moon_alt_deg`** — moon altitude in degrees
* **`nearest_airport_code`** — closest airport (ICAO)
* **`nearest_airport_km`** — distance to that airport in km
* **`wx_bucket`** — rough weather bucket (coarse category)
These values are approximate and should be treated as exploratory metadata only.
---
## **🧩 Clustering Fields (Included in the File)**
The dataset includes two fields that come from text-similarity grouping:
* **`cluster_id`** — numeric label
* **`prob`** — membership confidence
These reflect **text similarity**, not verified categories or event types.
They are included because they were already part of the cleaned file.
---
## **📝 Field Reference**
Each row has the following structure (example):
```
{
"uid": "scrubbed/row327047",
"t_utc": "2013-09-09T09:51:00.000Z",
"lat": 32.7152778,
"lon": -117.1563889,
"text": "2 white lights zig-zag over Qualcomm Stadium...",
"src": "scrubbed",
"city": "san diego",
"state": "ca",
"country": "US",
"cluster_id": 725,
"prob": 1.0,
"moon_illum": 0.163603127,
"moon_alt_deg": -67.0003509521,
"nearest_airport_km": 3.7174715996,
"nearest_airport_code": "KSAN",
"reports_z": null,
"wx_bucket": "unknown"
}
```
### **Field descriptions**
| Field | Type | Notes |
| -------------------------- | ---------- | ------------------------------------------------ |
| `uid` | string | Stable row identifier |
| `t_utc` | string | Event timestamp, ISO-8601 UTC |
| `lat`, `lon` | float | Approximate coordinates |
| `city`, `state`, `country` | string | Cleaned location fields (best-effort) |
| `text` | string | Free-text sighting description |
| `src` | string | Original Kaggle dataset source |
| `cluster_id` | int | Text-similarity cluster (for research use only) |
| `prob` | float | Cluster membership probability |
| `moon_illum` | float | Moon illumination (0–1) |
| `moon_alt_deg` | float | Moon altitude in degrees |
| `nearest_airport_km` | float | Distance to nearest airport |
| `nearest_airport_code` | string | ICAO code |
| `wx_bucket` | string | Approximate weather category |
| `reports_z` | float/null | Unused placeholder field (kept for completeness) |
---
## **⚠️ Notes & Limitations**
* Accuracy of timestamps and locations depends entirely on original reporting.
* Weather buckets are coarse (not NOAA-grade).
* Airport distances are approximate nearest-neighbor lookups.
* Cluster labels are based solely on text similarity and do **not** reflect event reality.
* No claims are made about the nature or validity of any sighting.
---
## **📄 License**
Source data was public on Kaggle.
This cleaned, merged, and lightly enriched version is released for **research and educational use**.
Users should follow the original dataset licensing terms.
|