Upload folder using huggingface_hub
Browse files- README.md +12 -2
- example_notebook.ipynb +122 -42
- script.py +1 -1
README.md
CHANGED
@@ -1,4 +1,14 @@
|
|
1 |
-
#
|
2 |
|
3 |
-
This repo
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4 |
|
|
|
1 |
+
# Empty solution example for the S23DR competition
|
2 |
|
3 |
+
This repo provides a minimalistic example of a valid, but empty submission to S23DR competition.
|
4 |
+
We recommend you take a look at [this example](https://huggingface.co/usm3d/handcrafted_baseline_submission),
|
5 |
+
which implements some primitive algorithms and provides useful I/O and visualization functions.
|
6 |
+
|
7 |
+
This example seeks to simply provide minimal code which succeeds at reading the dataset and producing a solution (in this case two vertices at the origin and edge of zero length connecting them).
|
8 |
+
|
9 |
+
`script.py` - is the main file which is run by the competition space. It should produce `submission.parquet` as the result of the run. Please see the additional comments in the `script.py` file.
|
10 |
+
|
11 |
+
---
|
12 |
+
license: apache-2.0
|
13 |
+
---
|
14 |
|
example_notebook.ipynb
CHANGED
@@ -31,7 +31,7 @@
|
|
31 |
},
|
32 |
{
|
33 |
"cell_type": "code",
|
34 |
-
"execution_count":
|
35 |
"id": "ItDDqoXop8bb",
|
36 |
"metadata": {
|
37 |
"colab": {
|
@@ -61,7 +61,7 @@
|
|
61 |
},
|
62 |
{
|
63 |
"cell_type": "code",
|
64 |
-
"execution_count":
|
65 |
"id": "zq_ljluLqzzv",
|
66 |
"metadata": {
|
67 |
"id": "zq_ljluLqzzv"
|
@@ -115,7 +115,7 @@
|
|
115 |
},
|
116 |
{
|
117 |
"cell_type": "code",
|
118 |
-
"execution_count":
|
119 |
"id": "U0J1w3kCZqMD",
|
120 |
"metadata": {
|
121 |
"colab": {
|
@@ -239,56 +239,88 @@
|
|
239 |
},
|
240 |
"outputs": [
|
241 |
{
|
242 |
-
"
|
243 |
-
|
244 |
-
|
245 |
-
|
246 |
-
|
247 |
-
|
248 |
-
|
|
|
|
|
|
|
|
|
|
|
249 |
},
|
250 |
{
|
251 |
"data": {
|
252 |
"application/vnd.jupyter.widget-view+json": {
|
253 |
-
"model_id": "
|
254 |
"version_major": 2,
|
255 |
"version_minor": 0
|
256 |
},
|
257 |
"text/plain": [
|
258 |
-
"
|
259 |
]
|
260 |
},
|
261 |
"metadata": {},
|
262 |
"output_type": "display_data"
|
263 |
},
|
264 |
{
|
265 |
-
"
|
266 |
-
|
267 |
-
|
268 |
-
|
269 |
-
|
270 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
271 |
},
|
272 |
{
|
273 |
-
"
|
274 |
-
|
275 |
-
|
276 |
-
|
277 |
-
|
278 |
-
|
279 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
280 |
},
|
281 |
{
|
282 |
"name": "stdout",
|
283 |
"output_type": "stream",
|
284 |
"text": [
|
285 |
-
"
|
|
|
|
|
286 |
]
|
287 |
},
|
288 |
{
|
289 |
"data": {
|
290 |
"application/vnd.jupyter.widget-view+json": {
|
291 |
-
"model_id": "
|
292 |
"version_major": 2,
|
293 |
"version_minor": 0
|
294 |
},
|
@@ -299,11 +331,67 @@
|
|
299 |
"metadata": {},
|
300 |
"output_type": "display_data"
|
301 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
302 |
{
|
303 |
"name": "stdout",
|
304 |
"output_type": "stream",
|
305 |
"text": [
|
306 |
-
"/Users/jack/dev/S23DR/2025/empty_submission/my_cool_submission_2025\n"
|
307 |
]
|
308 |
}
|
309 |
],
|
@@ -357,7 +445,7 @@
|
|
357 |
},
|
358 |
{
|
359 |
"cell_type": "code",
|
360 |
-
"execution_count":
|
361 |
"id": "NfxHRGClBYQE",
|
362 |
"metadata": {
|
363 |
"colab": {
|
@@ -371,15 +459,7 @@
|
|
371 |
"name": "stdout",
|
372 |
"output_type": "stream",
|
373 |
"text": [
|
374 |
-
"/Users/jack/dev/S23DR/2025/empty_submission/my_cool_submission_2025\n"
|
375 |
-
]
|
376 |
-
},
|
377 |
-
{
|
378 |
-
"name": "stderr",
|
379 |
-
"output_type": "stream",
|
380 |
-
"text": [
|
381 |
-
"/opt/homebrew/Caskroom/miniforge/base/envs/s23dr/lib/python3.10/site-packages/IPython/core/magics/osm.py:417: UserWarning: This is now an optional IPython functionality, setting dhist requires you to install the `pickleshare` library.\n",
|
382 |
-
" self.shell.db['dhist'] = compress_dhist(dhist)[-100:]\n"
|
383 |
]
|
384 |
}
|
385 |
],
|
@@ -435,7 +515,7 @@
|
|
435 |
},
|
436 |
{
|
437 |
"cell_type": "code",
|
438 |
-
"execution_count":
|
439 |
"id": "4Y0eTe7M_vIJ",
|
440 |
"metadata": {
|
441 |
"colab": {
|
@@ -449,7 +529,7 @@
|
|
449 |
"name": "stdout",
|
450 |
"output_type": "stream",
|
451 |
"text": [
|
452 |
-
"[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/
|
453 |
]
|
454 |
}
|
455 |
],
|
@@ -477,7 +557,7 @@
|
|
477 |
},
|
478 |
{
|
479 |
"cell_type": "code",
|
480 |
-
"execution_count":
|
481 |
"id": "Rf59SEZ6Cp4U",
|
482 |
"metadata": {
|
483 |
"colab": {
|
@@ -512,7 +592,7 @@
|
|
512 |
"<IPython.core.display.Markdown object>"
|
513 |
]
|
514 |
},
|
515 |
-
"execution_count":
|
516 |
"metadata": {},
|
517 |
"output_type": "execute_result"
|
518 |
}
|
|
|
31 |
},
|
32 |
{
|
33 |
"cell_type": "code",
|
34 |
+
"execution_count": 7,
|
35 |
"id": "ItDDqoXop8bb",
|
36 |
"metadata": {
|
37 |
"colab": {
|
|
|
61 |
},
|
62 |
{
|
63 |
"cell_type": "code",
|
64 |
+
"execution_count": 8,
|
65 |
"id": "zq_ljluLqzzv",
|
66 |
"metadata": {
|
67 |
"id": "zq_ljluLqzzv"
|
|
|
115 |
},
|
116 |
{
|
117 |
"cell_type": "code",
|
118 |
+
"execution_count": 9,
|
119 |
"id": "U0J1w3kCZqMD",
|
120 |
"metadata": {
|
121 |
"colab": {
|
|
|
239 |
},
|
240 |
"outputs": [
|
241 |
{
|
242 |
+
"data": {
|
243 |
+
"application/vnd.jupyter.widget-view+json": {
|
244 |
+
"model_id": "512d1f08f3e64ef3808da8bb846d6354",
|
245 |
+
"version_major": 2,
|
246 |
+
"version_minor": 0
|
247 |
+
},
|
248 |
+
"text/plain": [
|
249 |
+
"Fetching 4 files: 0%| | 0/4 [00:00<?, ?it/s]"
|
250 |
+
]
|
251 |
+
},
|
252 |
+
"metadata": {},
|
253 |
+
"output_type": "display_data"
|
254 |
},
|
255 |
{
|
256 |
"data": {
|
257 |
"application/vnd.jupyter.widget-view+json": {
|
258 |
+
"model_id": "920116c0c939415ba0da14e045bb5fe1",
|
259 |
"version_major": 2,
|
260 |
"version_minor": 0
|
261 |
},
|
262 |
"text/plain": [
|
263 |
+
"script.py: 0%| | 0.00/2.38k [00:00<?, ?B/s]"
|
264 |
]
|
265 |
},
|
266 |
"metadata": {},
|
267 |
"output_type": "display_data"
|
268 |
},
|
269 |
{
|
270 |
+
"data": {
|
271 |
+
"application/vnd.jupyter.widget-view+json": {
|
272 |
+
"model_id": "4975ca0c047e41f6a0bfdb24cf6d980f",
|
273 |
+
"version_major": 2,
|
274 |
+
"version_minor": 0
|
275 |
+
},
|
276 |
+
"text/plain": [
|
277 |
+
".gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s]"
|
278 |
+
]
|
279 |
+
},
|
280 |
+
"metadata": {},
|
281 |
+
"output_type": "display_data"
|
282 |
},
|
283 |
{
|
284 |
+
"data": {
|
285 |
+
"application/vnd.jupyter.widget-view+json": {
|
286 |
+
"model_id": "663f1903db14424fbbd3a99a6f407408",
|
287 |
+
"version_major": 2,
|
288 |
+
"version_minor": 0
|
289 |
+
},
|
290 |
+
"text/plain": [
|
291 |
+
"README.md: 0%| | 0.00/779 [00:00<?, ?B/s]"
|
292 |
+
]
|
293 |
+
},
|
294 |
+
"metadata": {},
|
295 |
+
"output_type": "display_data"
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"data": {
|
299 |
+
"application/vnd.jupyter.widget-view+json": {
|
300 |
+
"model_id": "93a306e3e7c94176bf127a9b2d364ce3",
|
301 |
+
"version_major": 2,
|
302 |
+
"version_minor": 0
|
303 |
+
},
|
304 |
+
"text/plain": [
|
305 |
+
"example_notebook.ipynb: 0%| | 0.00/146k [00:00<?, ?B/s]"
|
306 |
+
]
|
307 |
+
},
|
308 |
+
"metadata": {},
|
309 |
+
"output_type": "display_data"
|
310 |
},
|
311 |
{
|
312 |
"name": "stdout",
|
313 |
"output_type": "stream",
|
314 |
"text": [
|
315 |
+
"/Users/jack/dev/S23DR/2025/empty_submission/my_cool_submission_2025/upstream\n",
|
316 |
+
"https://huggingface.co/jacklangerman/my_cool_submission_2025\n",
|
317 |
+
"[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/f16ee2c7082a1e3d8d0c1f0f65e331e212af3ba3', commit_message='Upload folder using huggingface_hub', commit_description='', oid='f16ee2c7082a1e3d8d0c1f0f65e331e212af3ba3', pr_url=None, repo_url=RepoUrl('https://huggingface.co/jacklangerman/my_cool_submission_2025', endpoint='https://huggingface.co', repo_type='model', repo_id='jacklangerman/my_cool_submission_2025'), pr_revision=None, pr_num=None)]\n"
|
318 |
]
|
319 |
},
|
320 |
{
|
321 |
"data": {
|
322 |
"application/vnd.jupyter.widget-view+json": {
|
323 |
+
"model_id": "3cc9d11239ce4031a4e3f6ba12874d2b",
|
324 |
"version_major": 2,
|
325 |
"version_minor": 0
|
326 |
},
|
|
|
331 |
"metadata": {},
|
332 |
"output_type": "display_data"
|
333 |
},
|
334 |
+
{
|
335 |
+
"data": {
|
336 |
+
"application/vnd.jupyter.widget-view+json": {
|
337 |
+
"model_id": "e8d35e9b9c234064a8735d7d745d6ae6",
|
338 |
+
"version_major": 2,
|
339 |
+
"version_minor": 0
|
340 |
+
},
|
341 |
+
"text/plain": [
|
342 |
+
"README.md: 0%| | 0.00/779 [00:00<?, ?B/s]"
|
343 |
+
]
|
344 |
+
},
|
345 |
+
"metadata": {},
|
346 |
+
"output_type": "display_data"
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"data": {
|
350 |
+
"application/vnd.jupyter.widget-view+json": {
|
351 |
+
"model_id": "23382690f1244d5ca83ce74cc4662b00",
|
352 |
+
"version_major": 2,
|
353 |
+
"version_minor": 0
|
354 |
+
},
|
355 |
+
"text/plain": [
|
356 |
+
"example_notebook.ipynb: 0%| | 0.00/146k [00:00<?, ?B/s]"
|
357 |
+
]
|
358 |
+
},
|
359 |
+
"metadata": {},
|
360 |
+
"output_type": "display_data"
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"data": {
|
364 |
+
"application/vnd.jupyter.widget-view+json": {
|
365 |
+
"model_id": "85bfc371a91c4df39a49fc84988c7b4b",
|
366 |
+
"version_major": 2,
|
367 |
+
"version_minor": 0
|
368 |
+
},
|
369 |
+
"text/plain": [
|
370 |
+
".gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s]"
|
371 |
+
]
|
372 |
+
},
|
373 |
+
"metadata": {},
|
374 |
+
"output_type": "display_data"
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"data": {
|
378 |
+
"application/vnd.jupyter.widget-view+json": {
|
379 |
+
"model_id": "53f7baaae14641e6b95c1df660a00547",
|
380 |
+
"version_major": 2,
|
381 |
+
"version_minor": 0
|
382 |
+
},
|
383 |
+
"text/plain": [
|
384 |
+
"script.py: 0%| | 0.00/2.38k [00:00<?, ?B/s]"
|
385 |
+
]
|
386 |
+
},
|
387 |
+
"metadata": {},
|
388 |
+
"output_type": "display_data"
|
389 |
+
},
|
390 |
{
|
391 |
"name": "stdout",
|
392 |
"output_type": "stream",
|
393 |
"text": [
|
394 |
+
"/Users/jack/dev/S23DR/2025/empty_submission/my_cool_submission_2025/my_cool_submission_2025\n"
|
395 |
]
|
396 |
}
|
397 |
],
|
|
|
445 |
},
|
446 |
{
|
447 |
"cell_type": "code",
|
448 |
+
"execution_count": 10,
|
449 |
"id": "NfxHRGClBYQE",
|
450 |
"metadata": {
|
451 |
"colab": {
|
|
|
459 |
"name": "stdout",
|
460 |
"output_type": "stream",
|
461 |
"text": [
|
462 |
+
"/Users/jack/dev/S23DR/2025/empty_submission/my_cool_submission_2025/my_cool_submission_2025\n"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
463 |
]
|
464 |
}
|
465 |
],
|
|
|
515 |
},
|
516 |
{
|
517 |
"cell_type": "code",
|
518 |
+
"execution_count": 11,
|
519 |
"id": "4Y0eTe7M_vIJ",
|
520 |
"metadata": {
|
521 |
"colab": {
|
|
|
529 |
"name": "stdout",
|
530 |
"output_type": "stream",
|
531 |
"text": [
|
532 |
+
"[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission_2025/commit/6048b3304a327a3727d860fc44174e96f19d4caa', commit_message='Upload folder using huggingface_hub', commit_description='', oid='6048b3304a327a3727d860fc44174e96f19d4caa', pr_url=None, repo_url=RepoUrl('https://huggingface.co/jacklangerman/my_cool_submission_2025', endpoint='https://huggingface.co', repo_type='model', repo_id='jacklangerman/my_cool_submission_2025'), pr_revision=None, pr_num=None)]\n"
|
533 |
]
|
534 |
}
|
535 |
],
|
|
|
557 |
},
|
558 |
{
|
559 |
"cell_type": "code",
|
560 |
+
"execution_count": 12,
|
561 |
"id": "Rf59SEZ6Cp4U",
|
562 |
"metadata": {
|
563 |
"colab": {
|
|
|
592 |
"<IPython.core.display.Markdown object>"
|
593 |
]
|
594 |
},
|
595 |
+
"execution_count": 12,
|
596 |
"metadata": {},
|
597 |
"output_type": "execute_result"
|
598 |
}
|
script.py
CHANGED
@@ -36,7 +36,7 @@ if __name__ == "__main__":
|
|
36 |
param_path = Path('params.json')
|
37 |
print(param_path)
|
38 |
with param_path.open() as f:
|
39 |
-
params = json.load(
|
40 |
print(params)
|
41 |
|
42 |
dataset = load_dataset("usm3d/hoho25k_test_x", trust_remote_code=True, use_auth_token=params['token'])
|
|
|
36 |
param_path = Path('params.json')
|
37 |
print(param_path)
|
38 |
with param_path.open() as f:
|
39 |
+
params = json.load(f)
|
40 |
print(params)
|
41 |
|
42 |
dataset = load_dataset("usm3d/hoho25k_test_x", trust_remote_code=True, use_auth_token=params['token'])
|