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  1. easy/english_easy_testdata_manyshot_prompt.jsonl +0 -0
  2. english.jsonl +0 -0
  3. english_easy_testdata.jsonl +617 -0
  4. english_easy_testdata_manyshot_prompt.jsonl +0 -0
  5. english_hard_testdata.jsonl +630 -0
  6. english_hard_testdata_manyshot_prompt.jsonl +0 -0
  7. english_middle_testdata.jsonl +629 -0
  8. english_middle_testdata_manyshot_prompt.jsonl +0 -0
  9. hard/english_hard_testdata_manyshot_prompt.jsonl +0 -0
  10. middle/english_middle_testdata_manyshot_prompt.jsonl +0 -0
  11. number_reading.py +60 -0
  12. play.ipynb +9 -48
easy/english_easy_testdata_manyshot_prompt.jsonl ADDED
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english.jsonl ADDED
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english_easy_testdata.jsonl ADDED
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+ {"number": "53,258", "golden_reading": ["fifty three thousand two hundred fifty eight"], "language": "English", "training": false}
524
+ {"number": "59,821", "golden_reading": ["fifty nine thousand eight hundred twenty one"], "language": "English", "training": false}
525
+ {"number": "94,464", "golden_reading": ["ninety four thousand four hundred sixty four"], "language": "English", "training": false}
526
+ {"number": "68,236", "golden_reading": ["sixty eight thousand two hundred thirty six"], "language": "English", "training": false}
527
+ {"number": "58,612", "golden_reading": ["fifty eight thousand six hundred twelve"], "language": "English", "training": false}
528
+ {"number": "98,886", "golden_reading": ["ninety eight thousand eight hundred eighty six"], "language": "English", "training": false}
529
+ {"number": "88,620", "golden_reading": ["eighty eight thousand six hundred twenty"], "language": "English", "training": false}
530
+ {"number": "21,755", "golden_reading": ["twenty one thousand seven hundred fifty five"], "language": "English", "training": false}
531
+ {"number": "36,098", "golden_reading": ["thirty six thousand ninety eight"], "language": "English", "training": false}
532
+ {"number": "59,484", "golden_reading": ["fifty nine thousand four hundred eighty four"], "language": "English", "training": false}
533
+ {"number": "53,938", "golden_reading": ["fifty three thousand nine hundred thirty eight"], "language": "English", "training": false}
534
+ {"number": "47,296", "golden_reading": ["forty seven thousand two hundred ninety six"], "language": "English", "training": false}
535
+ {"number": "11,259", "golden_reading": ["eleven thousand two hundred fifty nine"], "language": "English", "training": false}
536
+ {"number": "98,120", "golden_reading": ["ninety eight thousand one hundred twenty"], "language": "English", "training": false}
537
+ {"number": "16,795", "golden_reading": ["sixteen thousand seven hundred ninety five"], "language": "English", "training": false}
538
+ {"number": "90,274", "golden_reading": ["ninety thousand two hundred seventy four"], "language": "English", "training": false}
539
+ {"number": "46,562", "golden_reading": ["forty six thousand five hundred sixty two"], "language": "English", "training": false}
540
+ {"number": "23,788", "golden_reading": ["twenty three thousand seven hundred eighty eight"], "language": "English", "training": false}
541
+ {"number": "66,095", "golden_reading": ["sixty six thousand ninety five"], "language": "English", "training": false}
542
+ {"number": "29,001", "golden_reading": ["twenty nine thousand one"], "language": "English", "training": false}
543
+ {"number": "84,581", "golden_reading": ["eighty four thousand five hundred eighty one"], "language": "English", "training": false}
544
+ {"number": "34,215", "golden_reading": ["thirty four thousand two hundred fifteen"], "language": "English", "training": false}
545
+ {"number": "90,124", "golden_reading": ["ninety thousand one hundred twenty four"], "language": "English", "training": false}
546
+ {"number": "84,414", "golden_reading": ["eighty four thousand four hundred fourteen"], "language": "English", "training": false}
547
+ {"number": "13,912", "golden_reading": ["thirteen thousand nine hundred twelve"], "language": "English", "training": false}
548
+ {"number": "85,960", "golden_reading": ["eighty five thousand nine hundred sixty"], "language": "English", "training": false}
549
+ {"number": "94,153", "golden_reading": ["ninety four thousand one hundred fifty three"], "language": "English", "training": false}
550
+ {"number": "90,641", "golden_reading": ["ninety thousand six hundred forty one"], "language": "English", "training": false}
551
+ {"number": "78,868", "golden_reading": ["seventy eight thousand eight hundred sixty eight"], "language": "English", "training": false}
552
+ {"number": "46,790", "golden_reading": ["forty six thousand seven hundred ninety"], "language": "English", "training": false}
553
+ {"number": "9,635", "golden_reading": ["nine thousand six hundred thirty five"], "language": "English", "training": false}
554
+ {"number": "69,933", "golden_reading": ["sixty nine thousand nine hundred thirty three"], "language": "English", "training": false}
555
+ {"number": "83,707", "golden_reading": ["eighty three thousand seven hundred seven"], "language": "English", "training": false}
556
+ {"number": "28,860", "golden_reading": ["twenty eight thousand eight hundred sixty"], "language": "English", "training": false}
557
+ {"number": "96,580", "golden_reading": ["ninety six thousand five hundred eighty"], "language": "English", "training": false}
558
+ {"number": "57,389", "golden_reading": ["fifty seven thousand three hundred eighty nine"], "language": "English", "training": false}
559
+ {"number": "75,013", "golden_reading": ["seventy five thousand thirteen"], "language": "English", "training": false}
560
+ {"number": "22,111", "golden_reading": ["twenty two thousand one hundred eleven"], "language": "English", "training": false}
561
+ {"number": "29,977", "golden_reading": ["twenty nine thousand nine hundred seventy seven"], "language": "English", "training": false}
562
+ {"number": "33,545", "golden_reading": ["thirty three thousand five hundred forty five"], "language": "English", "training": false}
563
+ {"number": "2,282", "golden_reading": ["two thousand two hundred eighty two"], "language": "English", "training": false}
564
+ {"number": "52,122", "golden_reading": ["fifty two thousand one hundred twenty two"], "language": "English", "training": false}
565
+ {"number": "73,276", "golden_reading": ["seventy three thousand two hundred seventy six"], "language": "English", "training": false}
566
+ {"number": "55,089", "golden_reading": ["fifty five thousand eighty nine"], "language": "English", "training": false}
567
+ {"number": "53,701", "golden_reading": ["fifty three thousand seven hundred one"], "language": "English", "training": false}
568
+ {"number": "45,884", "golden_reading": ["forty five thousand eight hundred eighty four"], "language": "English", "training": false}
569
+ {"number": "47,749", "golden_reading": ["forty seven thousand seven hundred forty nine"], "language": "English", "training": false}
570
+ {"number": "4,991", "golden_reading": ["four thousand nine hundred ninety one"], "language": "English", "training": false}
571
+ {"number": "31,434", "golden_reading": ["thirty one thousand four hundred thirty four"], "language": "English", "training": false}
572
+ {"number": "12,160", "golden_reading": ["twelve thousand one hundred sixty"], "language": "English", "training": false}
573
+ {"number": "31,009", "golden_reading": ["thirty one thousand nine"], "language": "English", "training": false}
574
+ {"number": "81,982", "golden_reading": ["eighty one thousand nine hundred eighty two"], "language": "English", "training": false}
575
+ {"number": "85,784", "golden_reading": ["eighty five thousand seven hundred eighty four"], "language": "English", "training": false}
576
+ {"number": "42,593", "golden_reading": ["forty two thousand five hundred ninety three"], "language": "English", "training": false}
577
+ {"number": "86,965", "golden_reading": ["eighty six thousand nine hundred sixty five"], "language": "English", "training": false}
578
+ {"number": "11,883", "golden_reading": ["eleven thousand eight hundred eighty three"], "language": "English", "training": false}
579
+ {"number": "36,678", "golden_reading": ["thirty six thousand six hundred seventy eight"], "language": "English", "training": false}
580
+ {"number": "80,211", "golden_reading": ["eighty thousand two hundred eleven"], "language": "English", "training": false}
581
+ {"number": "96,845", "golden_reading": ["ninety six thousand eight hundred forty five"], "language": "English", "training": false}
582
+ {"number": "21,860", "golden_reading": ["twenty one thousand eight hundred sixty"], "language": "English", "training": false}
583
+ {"number": "67,952", "golden_reading": ["sixty seven thousand nine hundred fifty two"], "language": "English", "training": false}
584
+ {"number": "3,461", "golden_reading": ["three thousand four hundred sixty one"], "language": "English", "training": false}
585
+ {"number": "12,995", "golden_reading": ["twelve thousand nine hundred ninety five"], "language": "English", "training": false}
586
+ {"number": "71,441", "golden_reading": ["seventy one thousand four hundred forty one"], "language": "English", "training": false}
587
+ {"number": "12,726", "golden_reading": ["twelve thousand seven hundred twenty six"], "language": "English", "training": false}
588
+ {"number": "56,275", "golden_reading": ["fifty six thousand two hundred seventy five"], "language": "English", "training": false}
589
+ {"number": "172", "golden_reading": ["one hundred seventy two"], "language": "English", "training": false}
590
+ {"number": "48,182", "golden_reading": ["forty eight thousand one hundred eighty two"], "language": "English", "training": false}
591
+ {"number": "50,362", "golden_reading": ["fifty thousand three hundred sixty two"], "language": "English", "training": false}
592
+ {"number": "6,148", "golden_reading": ["six thousand one hundred forty eight"], "language": "English", "training": false}
593
+ {"number": "90,154", "golden_reading": ["ninety thousand one hundred fifty four"], "language": "English", "training": false}
594
+ {"number": "92,311", "golden_reading": ["ninety two thousand three hundred eleven"], "language": "English", "training": false}
595
+ {"number": "39,031", "golden_reading": ["thirty nine thousand thirty one"], "language": "English", "training": false}
596
+ {"number": "84,147", "golden_reading": ["eighty four thousand one hundred forty seven"], "language": "English", "training": false}
597
+ {"number": "96,004", "golden_reading": ["ninety six thousand four"], "language": "English", "training": false}
598
+ {"number": "57,658", "golden_reading": ["fifty seven thousand six hundred fifty eight"], "language": "English", "training": false}
599
+ {"number": "95,971", "golden_reading": ["ninety five thousand nine hundred seventy one"], "language": "English", "training": false}
600
+ {"number": "84,892", "golden_reading": ["eighty four thousand eight hundred ninety two"], "language": "English", "training": false}
601
+ {"number": "67,556", "golden_reading": ["sixty seven thousand five hundred fifty six"], "language": "English", "training": false}
602
+ {"number": "92,385", "golden_reading": ["ninety two thousand three hundred eighty five"], "language": "English", "training": false}
603
+ {"number": "23,210", "golden_reading": ["twenty three thousand two hundred ten"], "language": "English", "training": false}
604
+ {"number": "27,263", "golden_reading": ["twenty seven thousand two hundred sixty three"], "language": "English", "training": false}
605
+ {"number": "49,512", "golden_reading": ["forty nine thousand five hundred twelve"], "language": "English", "training": false}
606
+ {"number": "6,555", "golden_reading": ["six thousand five hundred fifty five"], "language": "English", "training": false}
607
+ {"number": "5,583", "golden_reading": ["five thousand five hundred eighty three"], "language": "English", "training": false}
608
+ {"number": "62,864", "golden_reading": ["sixty two thousand eight hundred sixty four"], "language": "English", "training": false}
609
+ {"number": "17,134", "golden_reading": ["seventeen thousand one hundred thirty four"], "language": "English", "training": false}
610
+ {"number": "97,699", "golden_reading": ["ninety seven thousand six hundred ninety nine"], "language": "English", "training": false}
611
+ {"number": "71,636", "golden_reading": ["seventy one thousand six hundred thirty six"], "language": "English", "training": false}
612
+ {"number": "68,664", "golden_reading": ["sixty eight thousand six hundred sixty four"], "language": "English", "training": false}
613
+ {"number": "5,036", "golden_reading": ["five thousand thirty six"], "language": "English", "training": false}
614
+ {"number": "12,272", "golden_reading": ["twelve thousand two hundred seventy two"], "language": "English", "training": false}
615
+ {"number": "27,603", "golden_reading": ["twenty seven thousand six hundred three"], "language": "English", "training": false}
616
+ {"number": "66,748", "golden_reading": ["sixty six thousand seven hundred forty eight"], "language": "English", "training": false}
617
+ {"number": "69,535", "golden_reading": ["sixty nine thousand five hundred thirty five"], "language": "English", "training": false}
618
+ {"number": "52,167", "golden_reading": ["fifty two thousand one hundred sixty seven"], "language": "English", "training": false}
619
+ {"number": "44,716", "golden_reading": ["forty four thousand seven hundred sixteen"], "language": "English", "training": false}
620
+ {"number": "75,986", "golden_reading": ["seventy five thousand nine hundred eighty six"], "language": "English", "training": false}
621
+ {"number": "17,362", "golden_reading": ["seventeen thousand three hundred sixty two"], "language": "English", "training": false}
622
+ {"number": "98,856", "golden_reading": ["ninety eight thousand eight hundred fifty six"], "language": "English", "training": false}
623
+ {"number": "22,664", "golden_reading": ["twenty two thousand six hundred sixty four"], "language": "English", "training": false}
624
+ {"number": "73,503", "golden_reading": ["seventy three thousand five hundred three"], "language": "English", "training": false}
625
+ {"number": "34,416", "golden_reading": ["thirty four thousand four hundred sixteen"], "language": "English", "training": false}
626
+ {"number": "14,900", "golden_reading": ["fourteen thousand nine hundred"], "language": "English", "training": false}
627
+ {"number": "79,329", "golden_reading": ["seventy nine thousand three hundred twenty nine"], "language": "English", "training": false}
628
+ {"number": "14,960", "golden_reading": ["fourteen thousand nine hundred sixty"], "language": "English", "training": false}
629
+ {"number": "63,496", "golden_reading": ["sixty three thousand four hundred ninety six"], "language": "English", "training": false}
english_middle_testdata_manyshot_prompt.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
hard/english_hard_testdata_manyshot_prompt.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
middle/english_middle_testdata_manyshot_prompt.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
number_reading.py ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import datasets
3
+
4
+ _CITATION = """\
5
+ # (Optional) Add your citation here
6
+ """
7
+
8
+ _DESCRIPTION = """\
9
+ Number Reading
10
+ """
11
+ LANGUAGES = [
12
+ "english"
13
+ ]
14
+ LEVELS = [
15
+ "easy", "middle", "hard"
16
+ ]
17
+ class NumberReadingConfig(datasets.BuilderConfig):
18
+ def __init__(self, task_name, **kwargs):
19
+ super().__init__(name=task_name, **kwargs)
20
+ self.task_name = task_name
21
+
22
+
23
+ class NumberReading(datasets.GeneratorBasedBuilder):
24
+ BUILDER_CONFIGS = [
25
+ NumberReadingConfig(task_name=level) for level in LEVELS
26
+ ]
27
+
28
+ def _info(self):
29
+ return datasets.DatasetInfo(
30
+ description=_DESCRIPTION,
31
+ features=datasets.Features({
32
+ "golden_reading": datasets.Sequence(datasets.Value("string")),
33
+ "prompt": datasets.Value("string"),
34
+ "number": datasets.Value("string"),
35
+ "language": datasets.Value("string"),
36
+ # add more fields depending on your JSONL schema
37
+ }),
38
+ supervised_keys=None,
39
+ homepage="https://huggingface.co/datasets/huayangli/number_reading",
40
+ citation=_CITATION,
41
+ )
42
+
43
+ def _split_generators(self, dl_manager):
44
+ level = self.config.name
45
+ data_files = {
46
+ "test": dl_manager.download_and_extract(f"english_{level}_testdata_manyshot_prompt.jsonl"),
47
+ }
48
+ return [
49
+ datasets.SplitGenerator(
50
+ name=datasets.Split.TEST,
51
+ gen_kwargs={"filepath": data_files["test"]},
52
+ )
53
+ ]
54
+ def _generate_examples(self, filepath):
55
+ import json
56
+ with open(filepath, "r", encoding="utf-8") as f:
57
+ for idx, line in enumerate(f):
58
+ data = json.loads(line)
59
+ data.pop("training")
60
+ yield idx, data
play.ipynb CHANGED
@@ -2,61 +2,22 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": 6,
6
- "id": "9af628c3",
7
- "metadata": {},
8
- "outputs": [
9
- {
10
- "name": "stderr",
11
- "output_type": "stream",
12
- "text": [
13
- "Generating train split: 201 examples [00:00, 8109.65 examples/s]\n",
14
- "Generating test split: 39 examples [00:00, 3546.17 examples/s]\n"
15
- ]
16
  }
17
- ],
18
- "source": [
19
- "from datasets import load_dataset\n",
20
- "\n",
21
- "dataset = load_dataset(\"huayangli/nlgraph\", \"GNN\", trust_remote_code=True)"
22
- ]
23
- },
24
- {
25
- "cell_type": "code",
26
- "execution_count": 10,
27
- "id": "3bd68df7",
28
- "metadata": {},
29
- "outputs": [
30
- {
31
- "name": "stdout",
32
- "output_type": "stream",
33
- "text": [
34
- "{'question': 'Determine if there is a path between two nodes in the graph. Note that (i,j) means that node i and node j are connected with an undirected edge.\\nGraph: (0,1) (1,2) (3,4) (4,5)\\nQ: Is there a path between node 1 and node 4?\\nA: Node 1 is in the connected block consisted of node 0, node 1, and node 2.\\nNode 4 is in the connected block consisting of node 3, node 4, and node 5. Node 1 and node 4 are not in the same connected block, so the answer is no.\\n\\nDetermine if there is a path between two nodes in the graph. Note that (i,j) means that node i and node j are connected with an undirected edge.\\nGraph: (0,1) (0,2) (1,5) (1,2) (1,3) (2,5)\\nQ: Is there a path between node 2 and node 3?\\nA: Node 2 is connected to node 1, node 1 is connected to node 3. We can follow the path: 2->1->3, so the answer is yes.\\n\\nDetermine if there is a path between two nodes in the graph. Note that (i,j) means that node i and node j are connected with an undirected edge.\\nGraph: (0,2) (0,5) (0,6) (1,3) (1,4) (2,5) (2,6) (3,4) (5,6)\\nQ: Is there a path between node 5 and node 4?\\nA: Node 5 is in the connected block consisted of node 0, node 2, node 5, and node 2.\\nNode 4 is in the connected block consisting of node 1, node 3, and node 4. Node 5 and node 4 are not in the same connected block, so the answer is no.\\n\\nDetermine if there is a path between two nodes in the graph. Note that (i,j) means that node i and node j are connected with an undirected edge.\\nGraph: (0,1) (0,7) (0,6) (1,7) (1,5) (1,6) (5,9) (2,8) (2,4) (2,3) (3,8)\\nQ: Is there a path between node 7 and node 9?\\nA: Node 7 is connected to node 1, node 1 is connected to node 5, node 5 is connected to node 9.\\nWe can follow the path: 7->1->5->9, so the answer is yes.\\n\\nDetermine if there is a path between two nodes in the graph. Note that (i,j) means that node i and node j are connected with an undirected edge.\\nGraph: (0,12) (0,13) (0,2) (0,14) (0,23) (0,8) (0,1) (0,25) (0,27) (0,10) (1,29) (1,13) (1,19) (1,28) (1,23) (1,30) (1,25) (1,24) (2,12) (2,5) (2,14) (2,17) (2,23) (3,7) (3,12) (3,19) (3,23) (3,8) (3,30) (3,25) (3,24) (4,33) (5,20) (5,23) (5,30) (6,15) (6,11) (7,32) (7,17) (7,23) (7,8) (7,10) (8,29) (8,12) (8,32) (8,20) (8,19) (8,17) (8,30) (9,29) (9,28) (9,30) (9,24) (10,13) (10,20) (10,14) (10,22) (11,31) (12,13) (12,23) (12,27) (12,26) (13,29) (13,32) (13,14) (13,28) (13,30) (13,24) (14,17) (14,30) (14,22) (14,27) (15,16) (15,31) (15,33) (17,32) (17,20) (17,19) (17,27) (17,24) (17,26) (18,21) (20,28) (20,30) (20,25) (21,31) (22,32) (22,28) (22,30) (23,28) (23,25) (23,27) (24,29) (24,28) (24,26) (25,32) (26,29) (26,27) (27,32) (27,30) (28,32) (28,30)\\nQ: Is there a path between node 14 and node 2?\\nA:', 'answer': 'The answer is yes.', 'difficulty': 'hard', 'doc_id': '0'}\n"
35
- ]
36
- }
37
- ],
38
  "source": [
39
- "print(dataset['train'][0])"
40
  ]
41
  }
42
  ],
43
  "metadata": {
44
- "kernelspec": {
45
- "display_name": "olmes",
46
- "language": "python",
47
- "name": "python3"
48
- },
49
  "language_info": {
50
- "codemirror_mode": {
51
- "name": "ipython",
52
- "version": 3
53
- },
54
- "file_extension": ".py",
55
- "mimetype": "text/x-python",
56
- "name": "python",
57
- "nbconvert_exporter": "python",
58
- "pygments_lexer": "ipython3",
59
- "version": "3.10.18"
60
  }
61
  },
62
  "nbformat": 4,
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": null,
6
+ "id": "7f691db1",
7
+ "metadata": {
8
+ "vscode": {
9
+ "languageId": "plaintext"
 
 
 
 
 
 
10
  }
11
+ },
12
+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  "source": [
14
+ "from datasets import load_dataset"
15
  ]
16
  }
17
  ],
18
  "metadata": {
 
 
 
 
 
19
  "language_info": {
20
+ "name": "python"
 
 
 
 
 
 
 
 
 
21
  }
22
  },
23
  "nbformat": 4,