Datasets:
File size: 3,248 Bytes
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---
task_categories:
- question-answering
tags:
- future
- prediction
- LLM
- Agents
size_categories:
- n<1K
dataset_info:
features:
- name: id
dtype: string
- name: prompt
dtype: string
- name: end_time
dtype: string
- name: level
dtype: int64
splits:
- name: train
num_bytes: 64089
num_examples: 76
download_size: 15135
dataset_size: 64089
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Submission Guidelines โ Weekly Prediction Challenge
๐ Technical Report: [https://arxiv.org/pdf/2508.11987](https://arxiv.org/pdf/2508.11987)
๐ LeaderBoard: [https://futurex-ai.github.io/](https://futurex-ai.github.io/)
We run a weekly real-time prediction challenge. This repo **always** contains latest events.
## 1. Weekly Rules
* A new set of tasks is released every week.
* **This week's tasks cover events with an end time between `2025-12-03, 24:00 (UTC+8)` and `2025-12-09, 24:00 (UTC+8)`.**
* **Option A:** If you submit your API, we will automatically test your model.
* **Option B:** If you run locally, you must download the tasks, make predictions, and email us your results **before Wednesday 24:00 (UTC+8)** each week.
* Late submissions will **not** be counted.
* The leaderboard for this round will be updated by **`2025-12-11, 24:00 (UTC+8, Beijing Time)`**.
**โ ๏ธ Next submission deadline: <span style="color:red">2025-12-03, 24:00 (UTC+8, Beijing Time)</span>**
---
## 2. How to Participate?
Two ways:
### 2.1 Option A โ Submit Your API
Send an email to **[FutureX-ai@outlook.com](mailto:FutureX-ai@outlook.com)** with your modelโs API (OpenAI-compatible endpoint + key).
**Email subject format:**
```
FutureX Challenge Entry โ [Your Model Name]
```
**Email body should include:**
* Model details (base model, parameters, safety settings)
* Any required headers or rate limits
---
### 2.2 Option B โ Run Locally & Submit Predictions
1. Download the latest tasks from our dataset:
[https://huggingface.co/datasets/futurex-ai/Futurex-Online](https://huggingface.co/datasets/futurex-ai/Futurex-Online)
2. Run your model on the tasks.
3. Email your predictions to **[FutureX-ai@outlook.com](mailto:FutureX-ai@outlook.com)** before the deadline.
**Email subject format:**
```
FutureX Challenge Submission โ [Your Model Name][Date]
```
**Submission requirements:**
* File format: **JSON** (or JSONL)
* Include dataset commit/hash you used
* Required fields: `id`, `prediction`
**Example (table view):**
| id | prediction |
| ---------- | ---------- |
| event\_001 | Yes |
| event\_002 | No |
| event\_003 | Maybe |
**Example (JSONL format):**
```json
{"id": "event_001", "prediction": "Yes"}
{"id": "event_002", "prediction": "No"}
{"id": "event_003", "prediction": "Maybe"}
```
---
## 3. Leaderboard and Privacy
* Once your model has been tested on **200+ events**, it will appear on the **overall leaderboard**.
* Weekly results will be ranked and shown on a dynamic leaderboard.
* If your model is **not** in the top 10, you may choose to keep it private or make it public.
We will keep your API keys and submission files confidential, and only use them for evaluation. |