"src/torio/_extension/utils.py" did not exist on "65ab62e6b73a941d09d8b45b23b389a6fae46f5a"
Commit d79107b9 authored by A. Unique TensorFlower's avatar A. Unique TensorFlower
Browse files

Merge pull request #10550 from npanpaliya:fix-dataset-url

PiperOrigin-RevId: 437158430
parents ccbac18b c1230a3e
...@@ -17,7 +17,7 @@ Some abbreviations used the code base include: ...@@ -17,7 +17,7 @@ Some abbreviations used the code base include:
- ml-20m: MovieLens 20 million dataset - ml-20m: MovieLens 20 million dataset
## Dataset ## Dataset
The [MovieLens datasets](http://files.grouplens.org/datasets/movielens/) are used for model training and evaluation. Specifically, we use two datasets: **ml-1m** (short for MovieLens 1 million) and **ml-20m** (short for MovieLens 20 million). The [MovieLens datasets](https://files.grouplens.org/datasets/movielens/) are used for model training and evaluation. Specifically, we use two datasets: **ml-1m** (short for MovieLens 1 million) and **ml-20m** (short for MovieLens 20 million).
### ml-1m ### ml-1m
ml-1m dataset contains 1,000,209 anonymous ratings of approximately 3,706 movies made by 6,040 users who joined MovieLens in 2000. All ratings are contained in the file "ratings.dat" without header row, and are in the following format: ml-1m dataset contains 1,000,209 anonymous ratings of approximately 3,706 movies made by 6,040 users who joined MovieLens in 2000. All ratings are contained in the file "ratings.dat" without header row, and are in the following format:
......
...@@ -49,7 +49,7 @@ RATINGS_FILE = "ratings.csv" ...@@ -49,7 +49,7 @@ RATINGS_FILE = "ratings.csv"
MOVIES_FILE = "movies.csv" MOVIES_FILE = "movies.csv"
# URL to download dataset # URL to download dataset
_DATA_URL = "http://files.grouplens.org/datasets/movielens/" _DATA_URL = "https://files.grouplens.org/datasets/movielens/"
GENRE_COLUMN = "genres" GENRE_COLUMN = "genres"
ITEM_COLUMN = "item_id" # movies ITEM_COLUMN = "item_id" # movies
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment