---
# System prepended metadata

title: GEMINI long context competition

---

# GEMINI long context competition

**Reference:** [Gemini Long Context Competition - Kaggle](https://www.kaggle.com/competitions/gemini-long-context)

![image.png](https://prod-files-secure.s3.us-west-2.amazonaws.com/44ba77f0-9486-46a1-986e-a2b92a269b4d/83aeb0c0-553a-480c-b21e-52f15c04a8c5/image.png)

**1. Situation**

**a. Background:** The Gemini Long Context competition challenges participants to leverage Gemini's extensive context window capabilities for innovative applications.

> ICBM? Tons of range of information in X on time AF with possible fakes detection in online matter
> 
%
++ culmination, future prediction + profiling people

https://letsdata.net/ https://letsdata.net/

build something like this - PoC for those people

---

**b. Competitive Landscape:** Participants are expected to develop solutions that effectively utilize Gemini's ability to process large-scale inputs.

**2. Mission**

Develop a comprehensive analysis of the 2024 U.S. Presidential Elections by utilizing Gemini's long context window to process and generate insights from extensive textual data.

**3. Execution**

**a. Concept of Operations:**

 **Phase 1:** Data Collection
    - Aggregate a vast corpus of election-related materials, including news articles, debate transcripts, social media posts, and policy documents.

  - **Phase 2:** Data Processing
    - Preprocess the collected data to ensure consistency and relevance.

  - **Phase 3:** Model Application
    - Employ Gemini's long context capabilities to:
      - Summarize extensive documents.
      - Analyze sentiment trends over time.
      - Identify correlations between events and public opinion shifts.

  - **Phase 4:** Visualization
    - Present findings through interactive dashboards, highlighting key insights and trends.

**b. Tasks:**

- **Data Team:** Responsible for aggregating and preprocessing the data.

 - **Modeling Team:** Tasked with deploying Gemini for data analysis.

- **Visualization Team:** Charged with creating interactive dashboards for presenting insights.

c. **Executing plan:**

1. **Data Aggregation:**
    - Utilize APIs and web scraping tools to collect data from reputable sources.
2. **Data Preprocessing:**
    - Clean and format the data, removing duplicates and irrelevant information.
3. **Model Deployment:**
    - Input the processed data into Gemini, leveraging its long context window to analyze large datasets in a single pass.
4. **Result Interpretation:**
    - Extract meaningful insights and patterns from the model's output.
5. **Reporting:**
    - Compile a comprehensive report detailing methodologies, findings, and potential implications.

**c. Coordinating Instructions:**

- Ensure seamless communication between teams to maintain data integrity and consistency.

 - Adhere to the competition timeline and submission guidelines.

**4. Service Support**

**a. Resources:**

  - Access to Gemini's long context processing capabilities.

  - Computational resources for data processing and model deployment. (~2k $ on google cloud)

- possible support of gcp employee

**b. Logistics:**

- Establish a shared repository for data storage and collaboration.

**5. Command and Signal**

**a. Command:**

 - Project Lead: [Name]

  - Data Team Lead: [Name]

  - Modeling Team Lead: [Name]

  - Visualization Team Lead: [Name]

**b. Signal:**

- Primary Communication: [Platform/Tool]

  - Backup Communication: [Platform/Tool]


### Datasets

https://www.kaggle.com/datasets/bwandowando/ukraine-russian-crisis-twitter-dataset-1-2-m-rows

https://www.kaggle.com/datasets/imtkaggleteam/war-and-peace?select=death-rate-in-armed-conflicts.csv



# la liga 2023/2024
https://www.kaggle.com/datasets/whisperingkahuna/la-liga-202324-players-and-team-insights/data 


stats + new articles over year

# european soccer database 2008-2016 (25k+ matches, players & teams attributes)
https://www.kaggle.com/datasets/hugomathien/soccer


# player stats from laliga until 12 day ago
https://www.kaggle.com/datasets/eduardopalmieri/laliga-players-stats

## notebook

https://www.kaggle.com/code/rafalkaczmarek/llms-tokens/edit



## Final idea:

![Gemini_t1.drawio](https://hackmd.io/_uploads/B10HBF_mkg.png)
![gemini_t2.drawio (1)](https://hackmd.io/_uploads/Sys08td71e.png)



We use data download from [laliga.com](https://www.laliga.com/en-GB/) that contains the transcription and match scores for selected week
E.g data



We use data download from [laliga.com](https://www.laliga.com/en-GB/) that contains the transcription and match scores for selected week
E.g data

Score:
Athletic Club 1 - 1 Getafe CF

69.1 Possession 30.9

7 Total shots 9

20.0 Accuaracy 14.3


70' Foul by Unai Gómez (Athletic Club).

70' Carles Aleñá (Getafe) wins a free kick in the attacking half.

68' Corner, Athletic Club. Conceded by Djené Dakonam.

64' Goal! Athletic Club 1, Getafe 1. Christantus Uche (Getafe) header from the centre of the box to the bottom left corner. Assisted by Luis Milla with a cross following a corner.

64' Corner, Getafe. Conceded by Unai Gómez.

62' Attempt missed. Álex Sola (Getafe) right footed shot from outside the box is high and wide to the right following a set piece situation.

61' Foul by Ander Herrera (Athletic Club).

61' Luis Milla (Getafe) wins a free kick on the left wing.