Hugging Face's logo

Datasets:
will33am
/
AVA

Dataset card Files Community
will33am commited on
Commit
2dfe820
•
1 Parent(s): 455ae37

update

Browse files
Files changed (3) hide show
  1. .ipynb_checkpoints/AVA-checkpoint.py +1 -1
  2. AVA.py +1 -1
  3. notebooks/Test.ipynb +5 -5
.ipynb_checkpoints/AVA-checkpoint.py CHANGED
@@ -38,7 +38,7 @@ class AVA(datasets.GeneratorBasedBuilder):
38
  def _split_generators(self, dl_manager):
39
  """Returns SplitGenerators."""
40
  archives = dl_manager.download(_DATA_URL)
41
- self.dict_metadata = Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl"))
42
  return [
43
  datasets.SplitGenerator(
44
  name=datasets.Split.TRAIN,
 
38
  def _split_generators(self, dl_manager):
39
  """Returns SplitGenerators."""
40
  archives = dl_manager.download(_DATA_URL)
41
+ self.dict_metadata = joblib.load(Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl")))
42
  return [
43
  datasets.SplitGenerator(
44
  name=datasets.Split.TRAIN,
AVA.py CHANGED
@@ -38,7 +38,7 @@ class AVA(datasets.GeneratorBasedBuilder):
38
  def _split_generators(self, dl_manager):
39
  """Returns SplitGenerators."""
40
  archives = dl_manager.download(_DATA_URL)
41
- self.dict_metadata = Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl"))
42
  return [
43
  datasets.SplitGenerator(
44
  name=datasets.Split.TRAIN,
 
38
  def _split_generators(self, dl_manager):
39
  """Returns SplitGenerators."""
40
  archives = dl_manager.download(_DATA_URL)
41
+ self.dict_metadata = joblib.load(Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl")))
42
  return [
43
  datasets.SplitGenerator(
44
  name=datasets.Split.TRAIN,
notebooks/Test.ipynb CHANGED
@@ -2,7 +2,7 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": 3,
6
  "id": "aef315bf",
7
  "metadata": {},
8
  "outputs": [],
@@ -19,7 +19,7 @@
19
  {
20
  "data": {
21
  "application/vnd.jupyter.widget-view+json": {
22
- "model_id": "f4ed52d19cfd40329ebbc4d9e6b9b8ff",
23
  "version_major": 2,
24
  "version_minor": 0
25
  },
@@ -34,13 +34,13 @@
34
  "name": "stdout",
35
  "output_type": "stream",
36
  "text": [
37
- "Downloading and preparing dataset ava/default to /home/william/.cache/huggingface/datasets/will33am___ava/default/1.0.0/b25331909ca9a0584688517c5b03689144393394f220cb4466e16bca4f72400e...\n"
38
  ]
39
  },
40
  {
41
  "data": {
42
  "application/vnd.jupyter.widget-view+json": {
43
- "model_id": "d233ac0e5616412aae8ebec9fa9dc7be",
44
  "version_major": 2,
45
  "version_minor": 0
46
  },
@@ -60,7 +60,7 @@
60
  {
61
  "cell_type": "code",
62
  "execution_count": null,
63
- "id": "64d98db9",
64
  "metadata": {},
65
  "outputs": [],
66
  "source": []
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 1,
6
  "id": "aef315bf",
7
  "metadata": {},
8
  "outputs": [],
 
19
  {
20
  "data": {
21
  "application/vnd.jupyter.widget-view+json": {
22
+ "model_id": "8607aaefd4ee458b98aec32f63642db0",
23
  "version_major": 2,
24
  "version_minor": 0
25
  },
 
34
  "name": "stdout",
35
  "output_type": "stream",
36
  "text": [
37
+ "Downloading and preparing dataset ava/default to /home/william/.cache/huggingface/datasets/will33am___ava/default/1.0.0/4a1b5bbeca6c4c8ebc7858b9db1c97ba665cd7960169246d8af476aa44a35153...\n"
38
  ]
39
  },
40
  {
41
  "data": {
42
  "application/vnd.jupyter.widget-view+json": {
43
+ "model_id": "e940a8080e6d4f2ca4108940bfdbc895",
44
  "version_major": 2,
45
  "version_minor": 0
46
  },
 
60
  {
61
  "cell_type": "code",
62
  "execution_count": null,
63
+ "id": "65cf9d76",
64
  "metadata": {},
65
  "outputs": [],
66
  "source": []