---
license: apache-2.0
language:
- en
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->
This dataset contain the information of movie detail like title , genres, cast , rating etc.


This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details
This dataset contain the information of movie detail like title , genres, cast , rating ,director , year of release, number of vote and runtime

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** [I don't understand the meaning of curated by]
- **Language(s) (NLP):** [Python]
- **License:** [apache-2.0]

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->
imdb website

- **Repository:** [https://github.com/samir1120k/Machine-Learning-Project/tree/IMDB-Web-Scrape]


## Uses

<!-- Address questions around how the dataset is intended to be used. -->
you can use this dataset to predict the movie rating on the basis of direactor cast and runtime,
even you can anylyze the performance and predict the next movie rating on the basis of this dataset and you can suggest the movie accoeding to thier genresetc

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->
to build and predict the AI\ML model

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
i don't know but there is so amny things where you can not use this dataset


## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

this datset is csv formate that help to increase the readbility 

## Dataset Creation
dataset created by webscaping

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->
To build and AI\ML model to predict somthing about move 



### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
imdb website

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
using python library to scape the data

[More Information Needed]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

imdb


#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

I want ot become the data Analysist
## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

i don't know
### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.