jbloom commited on
Commit ·
c9db20e
1
Parent(s): 13d6592
add tiny dataset and related files
Browse files- GBI-16-2D.py +24 -4
- data/LR.20071010.27305.fits +3 -0
- data/LR.20090219.53662.fits +3 -0
- data/LR.20100708.41739.fits +3 -0
- splits/tiny_test.jsonl +1 -0
- splits/tiny_train.jsonl +2 -0
GBI-16-2D.py
CHANGED
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@@ -6,6 +6,8 @@ from huggingface_hub import hf_hub_download
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from astropy.io import fits
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import datasets
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from datasets import DownloadManager
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from fsspec.core import url_to_fs
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@@ -69,6 +71,10 @@ class GBI_16_2D(datasets.GeneratorBasedBuilder):
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"dec": datasets.Value("float64"),
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"pixscale": datasets.Value("float64"),
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"image_id": datasets.Value("string"),
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}
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),
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supervised_keys=None,
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@@ -108,6 +114,10 @@ class GBI_16_2D(datasets.GeneratorBasedBuilder):
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"dec": item["dec"],
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"pixscale": item["pixscale"],
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"image_id": item["image_id"],
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}
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)
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if locally_run:
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@@ -151,7 +161,7 @@ class GBI_16_2D(datasets.GeneratorBasedBuilder):
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with fits.open(filepath, memmap=False) as hdul:
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# the first axis is length one, so we take the first element
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# the second axis is the time axis and varies between images
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image_data = hdul[
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yield task_instance_key, {**{"image": image_data}, **item}
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@@ -192,15 +202,25 @@ def make_split_jsonl_files(
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print(file, flush=True, end="...")
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with fits.open(file, memmap=False) as hdul:
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image_id = os.path.basename(file).split(".fits")[0]
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-
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item = {
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"image_id": image_id,
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"image": file,
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"ra": ra,
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"dec": dec,
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"pixscale": pixscale,
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}
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out_f.write(json.dumps(item) + "\n")
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from astropy.io import fits
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from astropy.coordinates import Angle
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from astropy import units as u
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import datasets
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from datasets import DownloadManager
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from fsspec.core import url_to_fs
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"dec": datasets.Value("float64"),
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"pixscale": datasets.Value("float64"),
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"image_id": datasets.Value("string"),
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"rotation_angle": datasets.Value("float64"),
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"dim_1": datasets.Value("int64"),
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"dim_2": datasets.Value("int64"),
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"exposure_time": datasets.Value("float64"),
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}
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),
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supervised_keys=None,
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"dec": item["dec"],
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"pixscale": item["pixscale"],
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"image_id": item["image_id"],
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"rotation_angle": item["rotation_angle"],
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"dim_1": item["dim_1"],
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"dim_2": item["dim_2"],
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"exposure_time": item["exposure_time"],
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}
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)
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if locally_run:
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with fits.open(filepath, memmap=False) as hdul:
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# the first axis is length one, so we take the first element
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# the second axis is the time axis and varies between images
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image_data = hdul[0].data[:, :].tolist()
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yield task_instance_key, {**{"image": image_data}, **item}
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print(file, flush=True, end="...")
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with fits.open(file, memmap=False) as hdul:
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image_id = os.path.basename(file).split(".fits")[0]
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ras = hdul[0].header.get("RA", "0")
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ra = float(Angle(f'{ras} hours').to_string(unit=u.degree, decimal=True))
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decs = hdul[0].header.get("DEC", "0")
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dec = float(Angle(f'{decs} degrees').to_string(unit=u.degree, decimal=True))
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pixscale = hdul[0].header.get("CD1_2", 0.135)
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rotation = hdul[0].header.get("ROTPOSN", 0.0)
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dim_1 = hdul[0].header.get("NAXIS1", 0)
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dim_2 = hdul[0].header.get("NAXIS2", 0)
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exposure_time = hdul[0].header.get("TTIME", 0.0)
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item = {
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"image_id": image_id,
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"image": file,
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"ra": ra,
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"dec": dec,
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"pixscale": pixscale,
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"rotation_angle": rotation,
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"dim_1": dim_1,
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"dim_2": dim_2,
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"exposure_time": exposure_time,
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}
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out_f.write(json.dumps(item) + "\n")
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data/LR.20071010.27305.fits
ADDED
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Git LFS Details
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data/LR.20090219.53662.fits
ADDED
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Git LFS Details
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data/LR.20100708.41739.fits
ADDED
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Git LFS Details
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splits/tiny_test.jsonl
ADDED
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@@ -0,0 +1 @@
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{"image_id": "LR.20100708.41739", "image": "./data/LR.20100708.41739.fits", "ra": 264.942, "dec": 27.3245, "pixscale": 0.135, "rotation_angle": -89.9999583, "dim_1": 0, "dim_2": 0, "exposure_time": 270}
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splits/tiny_train.jsonl
ADDED
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@@ -0,0 +1,2 @@
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{"image_id": "LR.20090219.53662", "image": "./data/LR.20090219.53662.fits", "ra": 258.967, "dec": 55.3849, "pixscale": 0.135, "rotation_angle": 270.00076907, "dim_1": 2248, "dim_2": 2048, "exposure_time": 270}
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{"image_id": "LR.20071010.27305", "image": "./data/LR.20071010.27305.fits", "ra": 288.061, "dec": -32.4109, "pixscale": 0.135, "rotation_angle": -89.99965647, "dim_1": 600, "dim_2": 400, "exposure_time": 30}
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