Update README.md

lm_eval/tasks/anli/README.md

-# Task-name
+# [Adversarial NLI: A New Benchmark for Natural Language Understanding](https://arxiv.org/abs/1910.14599)
 
-### Paper
-
-Title: `Adversarial NLI: A New Benchmark for Natural Language Understanding`
-
-Abstract: `https://arxiv.org/pdf/1910.14599.pdf`
+## Abstract
 
 Adversarial NLI (ANLI) is a dataset collected via an iterative, adversarial
 human-and-model-in-the-loop procedure. It consists of three rounds that progressively
 increase in difficulty and complexity, and each question-answer includes annotator-
 provided explanations.
 
-Homepage: `https://github.com/facebookresearch/anli`
+## Subtasks
 
+List or describe tasks defined in this folder, and their names here:
+* `anli_r1`: The data collected adversarially in the first round.
+* `anli_r2`: The data collected adversarially in the second round, after training on the previous round's data.
+* `anli_r3`: The data collected adversarially in the third round, after training on the previous multiple rounds of data.
+
+## Checklist
+
+For adding novel benchmarks/datasets to the library:
+  * [x] Is the task an existing benchmark in the literature?
+  * [x] Have you referenced the original paper that introduced the task?
+  * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
+
+
+If other tasks on this dataset are already supported:
+* [ ] Is the "Main" variant of this task clearly denoted?
+* [x] Have you provided a short sentence in a README on what each new variant adds / evaluates?
+* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
 
-### Citation
+## Citation
 
 ```
 @inproceedings{nie-etal-2020-adversarial,
@@ -31,22 +44,6 @@ Homepage: `https://github.com/facebookresearch/anli`
 }
 ```
 
-### Subtasks
+## Links
 
-List or describe tasks defined in this folder, and their names here:
-* `anli_r1`: The data collected adversarially in the first round.
-* `anli_r2`: The data collected adversarially in the second round, after training on the previous round's data.
-* `anli_r3`: The data collected adversarially in the third round, after training on the previous multiple rounds of data.
-
-### Checklist
-
-For adding novel benchmarks/datasets to the library:
-  * [x] Is the task an existing benchmark in the literature?
-  * [x] Have you referenced the original paper that introduced the task?
-  * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
-
-
-If other tasks on this dataset are already supported:
-* [ ] Is the "Main" variant of this task clearly denoted?
-* [x] Have you provided a short sentence in a README on what each new variant adds / evaluates?
-* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
+Homepage: https://github.com/facebookresearch/anli