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Datasets:
will33am
/
AVA

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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):
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  def _split_generators(self, dl_manager):
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  """Returns SplitGenerators."""
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  archives = dl_manager.download(_DATA_URL)
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- self.dict_metadata = Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl"))
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
 
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  def _split_generators(self, dl_manager):
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  """Returns SplitGenerators."""
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  archives = dl_manager.download(_DATA_URL)
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+ self.dict_metadata = joblib.load(Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl")))
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
AVA.py CHANGED
@@ -38,7 +38,7 @@ class AVA(datasets.GeneratorBasedBuilder):
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  def _split_generators(self, dl_manager):
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  """Returns SplitGenerators."""
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  archives = dl_manager.download(_DATA_URL)
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- self.dict_metadata = Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl"))
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
 
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  def _split_generators(self, dl_manager):
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  """Returns SplitGenerators."""
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  archives = dl_manager.download(_DATA_URL)
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+ self.dict_metadata = joblib.load(Path(dl_manager.download_and_extract(_BASE_HF_URL/ "metadata.pkl")))
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
notebooks/Test.ipynb CHANGED
@@ -2,7 +2,7 @@
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  "cells": [
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  {
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  "cell_type": "code",
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- "execution_count": 3,
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  "id": "aef315bf",
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  "metadata": {},
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  "outputs": [],
@@ -19,7 +19,7 @@
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  {
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  "data": {
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  "application/vnd.jupyter.widget-view+json": {
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- "model_id": "f4ed52d19cfd40329ebbc4d9e6b9b8ff",
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  "version_major": 2,
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  "version_minor": 0
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  },
@@ -34,13 +34,13 @@
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "Downloading and preparing dataset ava/default to /home/william/.cache/huggingface/datasets/will33am___ava/default/1.0.0/b25331909ca9a0584688517c5b03689144393394f220cb4466e16bca4f72400e...\n"
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  ]
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  },
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  {
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  "data": {
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  "application/vnd.jupyter.widget-view+json": {
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- "model_id": "d233ac0e5616412aae8ebec9fa9dc7be",
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  "version_major": 2,
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  "version_minor": 0
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  },
@@ -60,7 +60,7 @@
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  {
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  "cell_type": "code",
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  "execution_count": null,
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- "id": "64d98db9",
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  "metadata": {},
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  "outputs": [],
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  "source": []
 
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  "cells": [
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  {
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  "cell_type": "code",
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+ "execution_count": 1,
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  "id": "aef315bf",
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  "metadata": {},
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  "outputs": [],
 
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  {
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  "data": {
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  "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "8607aaefd4ee458b98aec32f63642db0",
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  "version_major": 2,
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  "version_minor": 0
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  },
 
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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+ "Downloading and preparing dataset ava/default to /home/william/.cache/huggingface/datasets/will33am___ava/default/1.0.0/4a1b5bbeca6c4c8ebc7858b9db1c97ba665cd7960169246d8af476aa44a35153...\n"
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  ]
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  },
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  {
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  "data": {
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  "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "e940a8080e6d4f2ca4108940bfdbc895",
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  "version_major": 2,
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  "version_minor": 0
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  },
 
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  {
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  "cell_type": "code",
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  "execution_count": null,
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+ "id": "65cf9d76",
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  "metadata": {},
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  "outputs": [],
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  "source": []