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Update AAVSO VSX: 10,300,820 variable stars

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ pretty_name: "AAVSO Variable Star Index (VSX)"
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+ language:
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+ - en
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+ description: "AAVSO Variable Star Index (VSX) catalog with 10,300,820 variable stars including types, periods, magnitudes, and spectral classifications."
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+ task_categories:
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+ - tabular-classification
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+ - tabular-regression
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+ tags:
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+ - space
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+ - variable-stars
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+ - aavso
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+ - vsx
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+ - astronomy
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+ - open-data
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+ - tabular-data
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+ size_categories:
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+ - 1M<n<10M
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/aavso_vsx_variable_stars.parquet
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+ default: true
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+ ---
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+
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+ # AAVSO Variable Star Index (VSX)
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+
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+ *Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.*
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+
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+ The AAVSO Variable Star Index (VSX) is the most comprehensive catalog of variable stars,
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+ containing **10,300,820** entries with variable star classifications, photometric properties,
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+ periods, and spectral types. VSX is maintained by the American Association of Variable Star
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+ Observers and is the standard reference for variable star research.
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+
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+ ## Dataset description
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+
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+ VSX aggregates variable star data from hundreds of surveys and catalogs worldwide including
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+ OGLE, ASAS-SN, ZTF, Gaia, and AAVSO observer submissions. Each entry represents a unique
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+ variable or suspected variable star with its variability type, brightness range, period (if
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+ known), epoch, and spectral classification.
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+
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+ Of the 10,300,820 entries, **4,830,314** have a measured period and
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+ **10,292,210** have a variability classification.
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+
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+ ## Key columns
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+
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+ | Column | Type | Description |
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+ |--------|------|-------------|
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+ | `aavso_uid` | Int64 | AAVSO unique object identifier |
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+ | `name` | string | Primary designation |
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+ | `ra_deg` | float64 | Right ascension J2000 (degrees) |
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+ | `dec_deg` | float64 | Declination J2000 (degrees) |
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+ | `variable_type` | string | Variability type (e.g., EW, SR, RRAB, DSCT) |
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+ | `var_flag` | Int64 | Variability flag (0=confirmed, 1=suspected) |
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+ | `mag_max` | float64 | Maximum brightness (magnitude at max light) |
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+ | `mag_max_passband` | string | Passband for max magnitude |
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+ | `mag_min` | float64 | Minimum brightness / amplitude |
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+ | `mag_min_passband` | string | Passband for min magnitude |
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+ | `min_is_amplitude` | string | Y if mag_min is amplitude, not absolute magnitude |
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+ | `period_days` | float64 | Period in days |
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+ | `epoch_jd` | float64 | Epoch of maximum/minimum (Julian Date) |
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+ | `spectral_type` | string | Spectral classification |
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+ | `mag_range` | float64 | Derived magnitude range (mag_min - mag_max) |
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+
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+ Full schema includes 22 columns with uncertainty flags and limit flags.
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+
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+ ## Top variability types
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+
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+ | Type | Count |
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+ |------|-------|
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+ | `ROT` | 2,352,208 |
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+ | `E` | 1,987,833 |
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+ | `L` | 1,604,633 |
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+ | `RS` | 719,268 |
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+ | `DSCT|GDOR|SXPHE` | 717,928 |
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+ | `S` | 493,290 |
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+ | `EW` | 397,843 |
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+ | `SR` | 323,058 |
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+ | `VAR` | 310,300 |
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+ | `RRAB` | 189,791 |
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+
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+ ## Quick stats
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+
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+ - **10,300,820** variable star entries
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+ - **4,830,314** with measured period (46.9%)
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+ - **10,292,210** with variability classification (99.9%)
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+ - RA range: 0.0001 to 360.0000 degrees
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+ - Dec range: -89.9288 to 89.9038 degrees
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("juliensimon/aavso-vsx-variable-stars", split="train")
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+ df = ds.to_pandas()
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+
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+ # Eclipsing binaries with known periods
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+ eclipsing = df[df["variable_type"].str.startswith("E", na=False) & df["period_days"].notna()]
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+ print(f"Eclipsing binaries with periods: {len(eclipsing):,}")
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+
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+ # Period-amplitude diagram for RR Lyrae
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+ rrab = df[df["variable_type"] == "RRAB"]
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+ import matplotlib.pyplot as plt
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+ plt.scatter(rrab["period_days"], rrab["mag_range"], s=0.5, alpha=0.3)
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+ plt.xlabel("Period (days)")
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+ plt.ylabel("Amplitude (mag)")
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+ plt.title("RR Lyrae (RRAB) Period-Amplitude Diagram")
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+ plt.show()
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+
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+ # Sky distribution
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+ plt.hexbin(df["ra_deg"], df["dec_deg"], gridsize=200, mincnt=1)
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+ plt.colorbar(label="Star count")
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+ plt.xlabel("RA (deg)")
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+ plt.ylabel("Dec (deg)")
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+ plt.title("VSX Variable Stars Sky Density")
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+ plt.show()
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+ ```
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+
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+ ## Data source
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+
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+ Watson, C.L., Henden, A.A., & Price, A. (2006), *The International Variable Star Index (VSX).*
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+ Society for Astronomical Sciences 25th Annual Symposium on Telescope Science, p. 47.
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+ Maintained by AAVSO: [https://www.aavso.org/vsx/](https://www.aavso.org/vsx/)
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+
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+ ## Pipeline
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+
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+ Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @dataset{aavso_vsx_variable_stars,
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+ author = {Simon, Julien},
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+ title = {AAVSO Variable Star Index (VSX)},
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+ year = {2026},
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+ publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/juliensimon/aavso-vsx-variable-stars},
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+ note = {Based on AAVSO VSX (Watson et al. 2006)}
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+ }
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+ ```
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+
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+ ## License
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+
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+ [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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