messages listlengths 1 1 | solution stringclasses 7
values | metadata unknown |
|---|---|---|
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>411</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou M... | {"ground_truth": 3, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2600</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2414</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1089</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>12</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou MA... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1681</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>24</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou MA... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1060</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>857</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou M... | {"ground_truth": 3, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2498</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2616</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>921</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou M... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>949</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou M... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>185</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou M... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2064</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 3, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>60</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou MA... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>83</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou MA... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1592</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1928</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1016</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1074</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1344</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 3, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2545</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2624</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1988</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2406</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2240</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>753</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou M... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1984</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1136</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2568</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2163</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1296</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1205</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2432</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1360</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2136</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1896</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>961</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou M... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2216</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1044</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1279</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1440</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1057</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2242</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1833</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1296</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1369</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1321</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1896</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1072</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1834</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1375</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1380</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1630</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1444</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 3, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1248</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>650</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou M... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1475</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1488</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>896</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou M... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1635</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1311</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>906</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou M... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1366</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1119</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2619</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1290</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1628</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou ... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>921</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>4</answer> to commit a category\n\nYou M... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2376</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2352</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1016</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1408</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1995</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>985</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou M... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>921</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou M... | {"ground_truth": 4, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2010</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1729</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>753</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou M... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2488</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1408</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>37</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou MA... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1784</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>312</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou M... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2216</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>6</answer> to commit a category\n\nYou ... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2377</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>904</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou M... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1171</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2177</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2189</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1272</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1371</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 3, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1954</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>947</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou M... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2641</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>5</answer> to commit a category\n\nYou ... | {"ground_truth": 5, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2011</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>1</answer> to commit a category\n\nYou ... | {"ground_truth": 1, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>2013</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>2</answer> to commit a category\n\nYou ... | {"ground_truth": 6, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>1408</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>0</answer> to commit a category\n\nYou ... | {"ground_truth": 0, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
[
{
"role": "user",
"content": "Classify the target paper into one of the 2 categories listed below.\n\nEach turn must look like one of:\n <thinking>...</thinking><walk>409</walk> to fetch a node's full text + its 1-hop neighbors\n <thinking>...</thinking><answer>3</answer> to commit a category\n\nYou M... | {"ground_truth": 2, "dataset_name": "cora", "task_type": "node_class", "label_names": ["Rule Learning", "Neural Networks", "Case-Based Reasoning", "Genetic Algorithms", "Learning Theory", "Reinforcement Learning", "Probabilistic Methods"]} | {} |
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