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Rodrigo FERREIRA RODRIGUES commited on
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Changing repo name in readme

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  1. README.md +11 -11
README.md CHANGED
@@ -368,16 +368,16 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: test
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- num_bytes: 76905142
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  num_examples: 55440
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  - name: train
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- num_bytes: 73481598
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  num_examples: 53440
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  - name: validation
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- num_bytes: 9189404
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  num_examples: 6680
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- download_size: 12904967
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- dataset_size: 159576144
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  - config_name: PPNL_single
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  features:
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  - name: matrix_size
@@ -537,20 +537,20 @@ dataset_info:
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  dataset_size: 89710872
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  ---
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- # Dataset Card for Geo-Benchmark
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  ## Table of Contents
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  ## Dataset Description
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- - **Homepage:** https://github.com/Rfr2003/GeoBenchmark
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- - **Repository:** https://github.com/Rfr2003/GeoBenchmark
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  - **Paper:**
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  - **Point of Contact:** rodrigo.ferreira-rodrigues@utoulouse.fr
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  ### Dataset Summary
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- Geo-Benchmark aims to assess Large Language Models' (LLM) geographical abilities across a multitude of tasks. It is built from 12 datasets split across 8 differents tasks:
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  - Knowledge/**Coordinates Prediction** : [GeoQuestions1089](https://github.com/AI-team-UoA/GeoQuestions1089)
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  - Knowledge/**Yes|No questions**: [GeoQuestions1089](https://github.com/AI-team-UoA/GeoQuestions1089)
@@ -567,7 +567,7 @@ These datasets have been preprocessed in order to be easily accessible.
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  ```python
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  import datasets
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- dataset = datasets.load_dataset("rfr2003/Geo_Benchmark", "GeoSQA")
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  ```
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  ### Supported Tasks and Leaderboards
@@ -703,7 +703,7 @@ We will give for each dataset the data fields. Note that fields highlighted by
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  ### Data Splits
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- | Category | Tasks | Datasets | Train | Dev | Test |
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  | --------------- | ---------------------- | ---------------------------------------- | --------------------- | ------------------- | ------------------------- |
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  | **Knowledge** | Coordinates Prediction | GeoQuestions1089_coord | – | – | 87 |
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  | | Yes/No questions | GeoQuestions1089_YN | – | – | 181 |
 
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  dtype: string
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  splits:
370
  - name: test
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+ num_bytes: 80282702
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  num_examples: 55440
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  - name: train
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+ num_bytes: 76667038
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  num_examples: 53440
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  - name: validation
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+ num_bytes: 9587004
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  num_examples: 6680
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+ download_size: 13201821
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+ dataset_size: 166536744
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  - config_name: PPNL_single
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  features:
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  - name: matrix_size
 
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  dataset_size: 89710872
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  ---
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+ # Dataset Card for GeoBenchLLM
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  ## Table of Contents
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  ## Dataset Description
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+ - **Homepage:** https://github.com/Rfr2003/GeoBenchLLM
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+ - **Repository:** https://github.com/Rfr2003/GeoBenchLLM
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  - **Paper:**
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  - **Point of Contact:** rodrigo.ferreira-rodrigues@utoulouse.fr
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  ### Dataset Summary
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+ GeoBenchLLM aims to assess Large Language Models' (LLM) geographical abilities across a multitude of tasks. It is built from 12 datasets split across 8 differents tasks:
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  - Knowledge/**Coordinates Prediction** : [GeoQuestions1089](https://github.com/AI-team-UoA/GeoQuestions1089)
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  - Knowledge/**Yes|No questions**: [GeoQuestions1089](https://github.com/AI-team-UoA/GeoQuestions1089)
 
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  ```python
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  import datasets
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+ dataset = datasets.load_dataset("rfr2003/GeoBenchLLM", "GeoSQA")
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  ```
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  ### Supported Tasks and Leaderboards
 
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  ### Data Splits
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+ | Cogn. Level | Tasks | Datasets | Train | Dev | Test |
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  | --------------- | ---------------------- | ---------------------------------------- | --------------------- | ------------------- | ------------------------- |
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  | **Knowledge** | Coordinates Prediction | GeoQuestions1089_coord | – | – | 87 |
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  | | Yes/No questions | GeoQuestions1089_YN | – | – | 181 |