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README.md

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+---
+license: cc-by-4.0
+task_categories:
+- audio-classification
+language:
+- en
+pretty_name: GISE-51
+tags:
+- audio
+- sound-event-classification
+- environmental-sound
+- sound-event-detection
+- scaper
+- fsd50k
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path:
+    - isolated_events/train/metadata.csv
+    - isolated_events/train/**/*.wav
+  - split: validation
+    path:
+    - isolated_events/val/metadata.csv
+    - isolated_events/val/**/*.wav
+  - split: test
+    path:
+    - isolated_events/eval/metadata.csv
+    - isolated_events/eval/**/*.wav
+  drop_labels: false
+---
+
+# GISE-51
+
+This is a Hugging Face mirror of the core GISE-51 isolated sound event dataset from Zenodo record [10.5281/zenodo.4593514](https://doi.org/10.5281/zenodo.4593514).
+
+GISE-51 contains 51 isolated sound event classes derived from FSD50K. The upstream release also provides synthetic GISE-51-Mixtures assets. This mirror includes the extracted isolated events, label metadata, noise files, the original JAMS annotation archive for regenerating mixtures, the dataset license file, and `silence_thresholds.txt`.
+
+## Included Files
+
+- `isolated_events/`: 16,357 mono WAV files, organized as `train`, `val`, and `eval` splits by class.
+- `metadata.csv`: root-level metadata for all isolated-event WAV files.
+- `isolated_events/{train,val,eval}/metadata.csv`: split-local metadata used by the Hub dataset viewer.
+- `meta/lbl_map.json`: 51-class label map from the upstream release.
+- `noises/`: background noise files used for mixture generation.
+- `mixtures_jams.tar.gz`: original JAMS annotation archive for the mixture subsets.
+- `license/LICENSE-DATASET`: upstream CC-BY-4.0 license text.
+- `silence_thresholds.txt`: upstream silence filtering thresholds.
+
+The very large pre-rendered mixture audio tarballs and pretrained model archive from the Zenodo record are not expanded in this mirror. The uploaded `mixtures_jams.tar.gz`, `noises/`, and `isolated_events/` assets are the compact, reproducible ingredients for the mixture soundscapes.
+
+## Statistics
+
+| Item | Value |
+| --- | ---: |
+| Isolated event files | 16,357 |
+| Classes | 51 |
+| Train files | 12,465 |
+| Validation files | 1,716 |
+| Test files | 2,176 |
+| Total isolated-event duration | 18.45 hours |
+| Audio format | WAV, PCM 16-bit |
+| Sample rate | 22,050 Hz |
+| Channels | Mono |
+
+Mixture JAMS annotations included:
+
+| Subset | JAMS files |
+| --- | ---: |
+| train | 60,000 |
+| val | 10,000 |
+| eval | 10,000 |
+| train_30k | 30,000 |
+| train_40k | 40,000 |
+| train_50k | 50,000 |
+| train_p2 | 10,000 |
+| train_p3 | 10,000 |
+| train_p4 | 10,000 |
+| train_p5 | 10,000 |
+
+## Source And Checksums
+
+Source record: [Zenodo 4593514](https://zenodo.org/records/4593514)
+
+Verified upstream MD5 checksums:
+
+- `isolated_events.tar.gz`: `c68db0b56d5cf036ee6811eece327a09`
+- `meta.tar.gz`: `404fbe07e9c429139a9ac2b55ee8931d`
+- `license.tar.gz`: `945b211c67babb7eae5c4c0e7cb18794`
+- `noises.tar.gz`: `326eb670b9ebb94dd9e305375b04692b`
+- `mixtures_jams.tar.gz`: `137e24af27e2950046fc545a0008e40c`
+- `silence_thresholds.txt`: `6824cb74b7973036e3c991334b6c047b`
+
+## Citation
+
+```bibtex
+@article{yadav2021gise51,
+  title = {GISE-51: A scalable isolated sound events dataset},
+  author = {Yadav, Sarthak and Foster, Mary Ellen},
+  journal = {arXiv preprint arXiv:2103.12306},
+  year = {2021}
+}
+```
+
+GISE-51 is based on FSD50K; please also cite FSD50K when using this dataset.

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license/LICENSE-DATASET

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+
+GISE-51 as a whole is released under license:
+Attribution 4.0 International (CC BY 4.0).
+
+You can find a human-readable summary of the license at:
+
+https://creativecommons.org/licenses/by/4.0/
+
+For convenience, the human-readable summary is included next:
+
+You are free to:
+
+Share — copy and redistribute the material in any medium or format
+Adapt — remix, transform, and build upon the material for any purpose, 
+even commercially.
+
+The licensor cannot revoke these freedoms as long as you follow the license terms.
+
+Under the following terms:
+
+Attribution — You must give appropriate credit, provide a link to the license, 
+and indicate if changes were made. You may do so in any reasonable manner, 
+but not in any way that suggests the licensor endorses you or your use.
+
+No additional restrictions — You may not apply legal terms or technological 
+measures that legally restrict others from doing anything the license permits.
+
+Notices:
+
+You do not have to comply with the license for elements of the material 
+in the public domain or where your use is permitted by an applicable
+exception or limitation.
+
+No warranties are given. The license may not give you all of the permissions 
+necessary for your intended use. For example, other rights such as publicity, 
+privacy, or moral rights may limit how you use the material.
+
+================================================================================
+
+However, the human-readable summary included above is not a substitute for the 
+license, which is described in detail at:
+
+https://creativecommons.org/licenses/by/4.0/legalcode
+

meta/lbl_map.json

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+{"Applause": 0, "Boom_and_explosion": 1, "Burping_and_eructation": 2, "Bus": 3, "Car": 4, "Chirp_and_tweet": 5, "Clapping": 6, "Coin_(dropping)": 7, "Cough": 8, "Crash_cymbal": 9, "Cricket": 10, "Crumpling_and_crinkling_and_crushing": 11, "Dishes_and_pots_and_pans_and_cutlery_and_silverware": 12, "Dog": 13, "Drill": 14, "Drum": 15, "Fart": 16, "Fireworks": 17, "Glass": 18, "Gong": 19, "Guitar": 20, "Gunshot_and_gunfire": 21, "Hammer": 22, "Harmonica": 23, "Harp": 24, "Hi-hat": 25, "Human_speech": 26, "Keys_jangling": 27, "Laughter": 28, "Marimba_and_xylophone": 29, "Organ": 30, "Piano": 31, "Rattle_(instrument)": 32, "Screaming": 33, "Shatter": 34, "Slam": 35, "Sliding_door": 36, "Subway_and_metro_and_underground": 37, "Tambourine": 38, "Tap": 39, "Tearing": 40, "Thunder": 41, "Toilet_flush": 42, "Train": 43, "Trumpet": 44, "Walk_and_footsteps": 45, "Waves_and_surf_and_splash_and_splatter_stream": 46, "Whispering": 47, "Wind": 48, "Writing": 49, "Zipper_(clothing)": 50}

silence_thresholds.txt

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+"Whispering, Wind, Crumpling_and_crinkling_and_crushing, Writing, Cricket", 2.5%
+"Glass, Tap, Zipper, Rattle, Chirp_and_tweet, Tearing", 5%
+Rest, 10%

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+  },
+  "channels": {
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+  },
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+    "Boom_and_explosion": 177,
+    "Burping_and_eructation": 273,
+    "Bus": 168,
+    "Car": 120,
+    "Chirp_and_tweet": 172,
+    "Clapping": 238,
+    "Coin_(dropping)": 338,
+    "Cough": 233,
+    "Crash_cymbal": 242,
+    "Cricket": 125,
+    "Crumpling_and_crinkling_and_crushing": 392,
+    "Dishes_and_pots_and_pans_and_cutlery_and_silverware": 428,
+    "Dog": 366,
+    "Drill": 155,
+    "Drum": 832,
+    "Fart": 607,
+    "Fireworks": 280,
+    "Glass": 179,
+    "Gong": 238,
+    "Guitar": 1713,
+    "Gunshot_and_gunfire": 323,
+    "Hammer": 142,
+    "Harmonica": 214,
+    "Harp": 191,
+    "Hi-hat": 448,
+    "Human_speech": 877,
+    "Keys_jangling": 111,
+    "Laughter": 668,
+    "Marimba_and_xylophone": 117,
+    "Organ": 308,
+    "Piano": 554,
+    "Rattle_(instrument)": 169,
+    "Screaming": 279,
+    "Shatter": 303,
+    "Slam": 259,
+    "Sliding_door": 140,
+    "Subway_and_metro_and_underground": 267,
+    "Tambourine": 126,
+    "Tap": 141,
+    "Tearing": 293,
+    "Thunder": 271,
+    "Toilet_flush": 178,
+    "Train": 283,
+    "Trumpet": 580,
+    "Walk_and_footsteps": 231,
+    "Waves_and_surf_and_splash_and_splatter_stream": 454,
+    "Whispering": 171,
+    "Wind": 200,
+    "Writing": 251,
+    "Zipper_(clothing)": 303
+  },
+  "mixtures_jams_counts": {
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+    "train": 60000,
+    "train_30k": 30000,
+    "train_40k": 40000,
+    "train_50k": 50000,
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+    "train_p3": 10000,
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+    "train_p5": 10000,
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+  "num_classes": 51,
+  "sample_rates": {
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+    "train": 12465,
+    "val": 1716
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+  "total_duration_seconds": 66403.552789,
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+}