Update README.md
Browse files
README.md
CHANGED
|
@@ -27,7 +27,7 @@ configs:
|
|
| 27 |
# TableEval dataset
|
| 28 |
|
| 29 |
**TableEval** is developed to benchmark and compare the performance of (M)LLMs on tables from scientific vs. non-scientific sources, represented as images vs. text.
|
| 30 |
-
It comprises six data subsets derived from existing benchmarks for question answering (QA) and table-to-text (T2T) tasks, containing a total of **3017 tables** and **11312 instances**.
|
| 31 |
The scienfific subset includes tables from pre-prints and peer-reviewed scholarly publications, while the non-scientific subset involves tables from Wikipedia and financial reports.
|
| 32 |
Each table is available as a **PNG** image and in four textual formats: **HTML**, **XML**, **LaTeX**, and **Dictionary (Dict)**.
|
| 33 |
All task annotations are taken from the source datasets.
|
|
@@ -95,7 +95,7 @@ All task annotations are taken from the source datasets.
|
|
| 95 |
│ │ ├── numericnlg.json
|
| 96 |
└── └── └── numericnlg_imgs.zip
|
| 97 |
|
| 98 |
-
For more details on each subset, please, refer to the respective README.md files: [ComTQA](ComTQA/README.md), Logic2Text, LogicNLG, SciGen, numericNLG.
|
| 99 |
|
| 100 |
## Citation
|
| 101 |
|
|
|
|
| 27 |
# TableEval dataset
|
| 28 |
|
| 29 |
**TableEval** is developed to benchmark and compare the performance of (M)LLMs on tables from scientific vs. non-scientific sources, represented as images vs. text.
|
| 30 |
+
It comprises six data subsets derived from the test sets of existing benchmarks for question answering (QA) and table-to-text (T2T) tasks, containing a total of **3017 tables** and **11312 instances**.
|
| 31 |
The scienfific subset includes tables from pre-prints and peer-reviewed scholarly publications, while the non-scientific subset involves tables from Wikipedia and financial reports.
|
| 32 |
Each table is available as a **PNG** image and in four textual formats: **HTML**, **XML**, **LaTeX**, and **Dictionary (Dict)**.
|
| 33 |
All task annotations are taken from the source datasets.
|
|
|
|
| 95 |
│ │ ├── numericnlg.json
|
| 96 |
└── └── └── numericnlg_imgs.zip
|
| 97 |
|
| 98 |
+
For more details on each subset, please, refer to the respective README.md files: [ComTQA](ComTQA/README.md), [Logic2Text](Logic2Text/README.md), LogicNLG, SciGen, numericNLG.
|
| 99 |
|
| 100 |
## Citation
|
| 101 |
|