mwirth7 commited on
Commit
ffe090a
1 Parent(s): c779353

update main script

Browse files
Files changed (1) hide show
  1. gadme.py +29 -20
gadme.py CHANGED
@@ -18,11 +18,11 @@ import os
18
  import datasets
19
  import pandas as pd
20
 
21
- from .classes import BIRD_NAMES_NIPS4BPLUS, BIRD_NAMES_AMAZON_BASIN, BIRD_NAMES_HAWAII, \
22
  BIRD_NAMES_HIGH_SIERRAS, BIRD_NAMES_SIERRA_NEVADA, BIRD_NAMES_POWDERMILL_NATURE, BIRD_NAMES_SAPSUCKER, \
23
  BIRD_NAMES_COLUMBIA_COSTA_RICA, BIRD_NAMES_XENOCANTO
24
 
25
- from .descriptions import _NIPS4BPLUS_CITATION, _NIPS4BPLUS_DESCRIPTION, \
26
  _HIGH_SIERRAS_DESCRIPTION, _HIGH_SIERRAS_CITATION, _SIERRA_NEVADA_DESCRIPTION, _SIERRA_NEVADA_CITATION, \
27
  _POWDERMILL_NATURE_DESCRIPTION, _POWDERMILL_NATURE_CITATION, _AMAZON_BASIN_DESCRIPTION, _AMAZON_BASIN_CITATION, \
28
  _SAPSUCKER_WOODS_DESCRIPTION, _SAPSUCKER_WOODS_CITATION, _COLUMBIA_COSTA_RICA_CITATION, \
@@ -242,31 +242,38 @@ class BirdSet(datasets.GeneratorBasedBuilder):
242
  class_list=BIRD_NAMES_COLUMBIA_COSTA_RICA,
243
  ),
244
  BirdSetConfig(
245
- name="NIPS",
246
  description=_NIPS4BPLUS_DESCRIPTION,
247
  citation=_NIPS4BPLUS_CITATION,
248
- data_dir=f"{base_url}/NIPS",
249
  class_list=BIRD_NAMES_NIPS4BPLUS,
250
  ),
251
  BirdSetConfig(
252
- name="NIPS_xc",
253
  description=_NIPS4BPLUS_DESCRIPTION,
254
  citation=_NIPS4BPLUS_CITATION,
255
- data_dir=f"{base_url}/NIPS",
256
  class_list=BIRD_NAMES_NIPS4BPLUS,
257
  ),
258
  BirdSetConfig(
259
- name="NIPS_scape",
260
  description=_NIPS4BPLUS_DESCRIPTION,
261
  citation=_NIPS4BPLUS_CITATION,
262
- data_dir=f"{base_url}/NIPS",
263
  class_list=BIRD_NAMES_NIPS4BPLUS,
264
  ),
265
  BirdSetConfig(
266
- name="xenocanto",
267
  description="TODO",
268
  citation="TODO",
269
- data_dir=f"{base_url}/xenocanto",
 
 
 
 
 
 
 
270
  class_list=BIRD_NAMES_XENOCANTO,
271
  ),
272
  ]
@@ -284,16 +291,18 @@ class BirdSet(datasets.GeneratorBasedBuilder):
284
  "NES": 12,
285
  "UHH": 4,
286
  "HSN": 6,
287
- "NIPS": 14,
288
  "POW": 36,
289
  "SSW": 27,
290
- "SNE": 20}
 
 
291
 
292
  test_files = {"PER": 3,
293
  "NES": 8,
294
  "UHH": 7,
295
  "HSN": 3,
296
- "NIPS": 1,
297
  "POW": 3,
298
  "SSW": 36,
299
  "SNE": 5}
@@ -313,10 +322,10 @@ class BirdSet(datasets.GeneratorBasedBuilder):
313
  "metadata_5s": os.path.join(self.config.data_dir, f"{ds_name}_metadata_test_5s.parquet"),
314
  })
315
 
316
- elif self.config.name == "xenocanto":
317
  dl_dir = dl_manager.download({
318
  "train": [os.path.join(self.config.data_dir, f"{ds_name}_shard_{n:04d}.tar.gz") for n in range(1, train_files[ds_name] + 1)],
319
- "metadata": os.path.join(self.config.data_dir, f"{ds_name}_metadata_metadata.parquet"),
320
  })
321
 
322
  elif self.config.name in train_files.keys():
@@ -360,7 +369,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
360
  "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test"]],
361
  "local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
362
  "metapath": dl_dir["metadata_5s"],
363
- "split": "test_multiclass"
364
  },
365
  ),
366
  ]
@@ -390,7 +399,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
390
  "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test"]],
391
  "local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
392
  "metapath": dl_dir["meta_test_5s"],
393
- "split": "test_multiclass"
394
  },
395
  ),
396
  ]
@@ -414,9 +423,9 @@ class BirdSet(datasets.GeneratorBasedBuilder):
414
  "end_time": row["end_time"],
415
  "low_freq": row["low_freq"],
416
  "high_freq": row["high_freq"],
417
- "ebird_code": row["ebird_code"] if split != "test_multiclass" else None,
418
- "ebird_code_multilabel": None if split != "test_multiclass" else row.get("ebird_code_multiclass", None),
419
- "ebird_code_secondary": row.get("ebird_code_multiclass", None),
420
  "call_type": row["call_type"],
421
  "sex": row["sex"],
422
  "lat": row["lat"],
 
18
  import datasets
19
  import pandas as pd
20
 
21
+ from .classes import BIRD_NAMES_BIRDDB, BIRD_NAMES_NIPS4BPLUS, BIRD_NAMES_AMAZON_BASIN, BIRD_NAMES_HAWAII, \
22
  BIRD_NAMES_HIGH_SIERRAS, BIRD_NAMES_SIERRA_NEVADA, BIRD_NAMES_POWDERMILL_NATURE, BIRD_NAMES_SAPSUCKER, \
23
  BIRD_NAMES_COLUMBIA_COSTA_RICA, BIRD_NAMES_XENOCANTO
24
 
25
+ from .descriptions import _BIRD_DB_DESCRIPTION, _BIRD_DB_CITATION, _NIPS4BPLUS_CITATION, _NIPS4BPLUS_DESCRIPTION, \
26
  _HIGH_SIERRAS_DESCRIPTION, _HIGH_SIERRAS_CITATION, _SIERRA_NEVADA_DESCRIPTION, _SIERRA_NEVADA_CITATION, \
27
  _POWDERMILL_NATURE_DESCRIPTION, _POWDERMILL_NATURE_CITATION, _AMAZON_BASIN_DESCRIPTION, _AMAZON_BASIN_CITATION, \
28
  _SAPSUCKER_WOODS_DESCRIPTION, _SAPSUCKER_WOODS_CITATION, _COLUMBIA_COSTA_RICA_CITATION, \
 
242
  class_list=BIRD_NAMES_COLUMBIA_COSTA_RICA,
243
  ),
244
  BirdSetConfig(
245
+ name="NBP",
246
  description=_NIPS4BPLUS_DESCRIPTION,
247
  citation=_NIPS4BPLUS_CITATION,
248
+ data_dir=f"{base_url}/NBP",
249
  class_list=BIRD_NAMES_NIPS4BPLUS,
250
  ),
251
  BirdSetConfig(
252
+ name="NBP_xc",
253
  description=_NIPS4BPLUS_DESCRIPTION,
254
  citation=_NIPS4BPLUS_CITATION,
255
+ data_dir=f"{base_url}/NBP",
256
  class_list=BIRD_NAMES_NIPS4BPLUS,
257
  ),
258
  BirdSetConfig(
259
+ name="NBP_scape",
260
  description=_NIPS4BPLUS_DESCRIPTION,
261
  citation=_NIPS4BPLUS_CITATION,
262
+ data_dir=f"{base_url}/NBP",
263
  class_list=BIRD_NAMES_NIPS4BPLUS,
264
  ),
265
  BirdSetConfig(
266
+ name="XCM",
267
  description="TODO",
268
  citation="TODO",
269
+ data_dir=f"{base_url}/XCM",
270
+ class_list=BIRD_NAMES_XENOCANTO,
271
+ ),
272
+ BirdSetConfig(
273
+ name="XCL",
274
+ description="TODO",
275
+ citation="TODO",
276
+ data_dir=f"{base_url}/XCL",
277
  class_list=BIRD_NAMES_XENOCANTO,
278
  ),
279
  ]
 
291
  "NES": 12,
292
  "UHH": 4,
293
  "HSN": 6,
294
+ "NBP": 14,
295
  "POW": 36,
296
  "SSW": 27,
297
+ "SNE": 20,
298
+ "XCM": 157,
299
+ "XCL": 1}
300
 
301
  test_files = {"PER": 3,
302
  "NES": 8,
303
  "UHH": 7,
304
  "HSN": 3,
305
+ "NBP": 1,
306
  "POW": 3,
307
  "SSW": 36,
308
  "SNE": 5}
 
322
  "metadata_5s": os.path.join(self.config.data_dir, f"{ds_name}_metadata_test_5s.parquet"),
323
  })
324
 
325
+ elif self.config.name.startswith("XC"):
326
  dl_dir = dl_manager.download({
327
  "train": [os.path.join(self.config.data_dir, f"{ds_name}_shard_{n:04d}.tar.gz") for n in range(1, train_files[ds_name] + 1)],
328
+ "metadata": os.path.join(self.config.data_dir, f"{ds_name}_metadata.parquet"),
329
  })
330
 
331
  elif self.config.name in train_files.keys():
 
369
  "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test"]],
370
  "local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
371
  "metapath": dl_dir["metadata_5s"],
372
+ "split": "test_multilabel"
373
  },
374
  ),
375
  ]
 
399
  "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test"]],
400
  "local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
401
  "metapath": dl_dir["meta_test_5s"],
402
+ "split": "test_multilabel"
403
  },
404
  ),
405
  ]
 
423
  "end_time": row["end_time"],
424
  "low_freq": row["low_freq"],
425
  "high_freq": row["high_freq"],
426
+ "ebird_code": row["ebird_code"] if split != "test_multilabel" else None,
427
+ "ebird_code_multilabel": row.get("ebird_code_multilabel", None),
428
+ "ebird_code_secondary": row.get("ebird_code_multilabel", None),
429
  "call_type": row["call_type"],
430
  "sex": row["sex"],
431
  "lat": row["lat"],