Update README.md

README.md

@@ -1,10 +1,16 @@
 ---
+language:
+- en
+license: apache-2.0
+size_categories:
+- 1M<n<10M
+pretty_name: CLRS Text Training Datasets
 dataset_info:
   features:
   - name: question
     dtype: string
   - name: answer
-    dtype: string
+    sequence: string
   - name: algo_name
     dtype: string
   splits:
@@ -19,3 +25,56 @@ configs:
   - split: train
     path: data/train-*
 ---
+# CLRS Text Testing Datasets
+A dataset containing the training data for CLRS-30 Text, generated using our [GitHub code](https://github.com/google-deepmind/clrs/tree/master/clrs/_src/clrs_text).
+The full list of the 30 algorithms and lengths included is available [here](https://github.com/google-deepmind/clrs/blob/master/clrs/_src/clrs_text/generate_clrs_text.py#L53).
+
+The full paper available on [ArXiv](https://arxiv.org/abs/2406.04229)
+
+### Licensing Information
+
+We are releasing this dataset under the terms of [Apache-2.0](https://choosealicense.com/licenses/apache-2.0/).
+
+## Bibtex
+
+If you use our dataset, please cite us:
+```bibtex
+@article{markeeva2024clrs,
+  title={The CLRS-Text Algorithmic Reasoning Language Benchmark},
+  author={Markeeva, Larisa and McLeish, Sean and Ibarz, Borja and Bounsi, Wilfried and Kozlova, Olga and Vitvitskyi, Alex and Blundell, Charles and Goldstein, Tom and Schwarzschild, Avi and Veli{\v{c}}kovi{\'c}, Petar},
+  journal={arXiv preprint arXiv:2406.04229},
+  year={2024}
+}
+```
+
+## Full List of Algorithms
+- activity_selector
+- articulation_points
+- bellman_ford
+- bfs
+- binary_search
+- bridges
+- bubble_sort
+- dag_shortest_paths
+- dfs
+- dijkstra
+- find_maximum_subarray_kadane
+- floyd_warshall
+- graham_scan
+- heapsort
+- insertion_sort
+- jarvis_march
+- kmp_matcher
+- lcs_length
+- matrix_chain_order
+- minimum
+- mst_kruskal
+- mst_prim
+- naive_string_matcher
+- optimal_bst
+- quickselect
+- quicksort
+- segments_intersect
+- strongly_connected_components
+- task_scheduling
+- topological_sort