converted to parquet

data/{lichess_game_data.txt → lichess_data.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fbb174f8789c9e7c4eae50f6a2bf19a3757aa13788182a3cd8c61acb039d2e97
-size 2249268189
+oid sha256:760d01d1f01afd4f2208783c8d16612a668bf8ba7cbb594d71dc1d1a0a8fc126
+size 1402139955

extra/chess_game_data.txt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b1f596fca8a3177bc5832e7a0f1e78fd14c3a924c53c3a15f4944a5d7ad869d1
-size 168853001

extra/fix.ipynb

@@ -0,0 +1,54 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import json\n",
+    "import jsonlines\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "with jsonlines.open('lichess_data.jsonl', 'a') as writer:\n",
+    "    with open(\"lichess_game_data.txt\", 'r') as readf:\n",
+    "        line = readf.readline()\n",
+    "        count = 0\n",
+    "        while line:\n",
+    "            data_line = {'id': count, 'pgn': line}\n",
+    "            writer.write(data_line)\n",
+    "            line = readf.readline()\n",
+    "            count += 1"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "chess",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

extra/test_dataset.ipynb

@@ -1,682 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "s:\\packages\\envs\\chess\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
-     ]
-    }
-   ],
-   "source": [
-    "from datasets import load_dataset\n",
-    "import tokenize\n",
-    "from tokenizers import SentencePieceBPETokenizer, pre_tokenizers, ByteLevelBPETokenizer, normalizers\n",
-    "from transformers import AutoTokenizer"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 132,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Downloading data files: 100%|██████████| 1/1 [00:00<?, ?it/s]\n",
-      "Extracting data files: 100%|██████████| 1/1 [00:00<00:00, 111.41it/s]\n",
-      "Generating train split: 4343360 examples [00:24, 178753.60 examples/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "datasets = load_dataset(\"text\", data_files={\"train\": \"lichess_game_data.txt\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def get_training_corpus():\n",
-    "    dataset = datasets[\"train\"]\n",
-    "    for start_idx in range(0, len(dataset), 1000):\n",
-    "        samples = dataset[start_idx : start_idx + 1000]\n",
-    "        yield samples['text']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 134,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tokenizer = SentencePieceBPETokenizer()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 135,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tokenizer.normalizer = normalizers.Sequence([normalizers.Replace(\".\", \"\"), normalizers.Replace(\"1-0\", \"\"), normalizers.Replace(\"0-1\", \"\"), normalizers.Replace(\"1/2-1/2\", \"\")])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 136,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tokenizer.pre_tokenizer = pre_tokenizers.Split(\" \", 'removed')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 137,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tokenizer.train_from_iterator(get_training_corpus(), vocab_size=10000000, min_frequency=0, show_progress=True, special_tokens=[\"<s>\", \"<pad>\", \"</s>\", \"<unk>\", \"<cls>\", \"<sep>\", \"<mask>\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 138,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "test_str = '1. e4 e5 2. Nf3 Nc6 3. d4 exd4 4. Nxd4 Nf6 5. Nxc6 bxc6 6. Bd3 d5 7. exd5 cxd5 8. O-O Be7 9. c4 O-O 10. cxd5 Bb7 11. Nc3 Nxd5 12. Bd2 Nb4 13. Be4 Bxe4 14. Nxe4 c5 15. Bc3 Qxd1 16. Rfxd1 Rad8 17. a3 Nd5 18. Ba5 Nb6 19. Nc3 Bf6 20. Rac1 Bxc3 21. Bxc3 Rxd1+ 22. Rxd1 f6 23. Kf1 Kf7 24. Rc1 Rd8 25. Ke2 Ke6 26. Bd2 c4 27. Be3 Rb8 28. Rc2 Rb7 29. h3 Kd5 30. Rd2+ Ke6 31. Rd4 a5 32. g3 Nd5 33. Bc1 Nb6 34. h4 g6 35. Bd2 Nd5 36. Bc1 Nb6 37. Bd2 Nd5 38. Rxc4 Rxb2 39. Ke1 Nb6 40. Re4+ Kd5 41. Re7 Rb1+ 42. Ke2 Nc4 43. Bc3 f5 44. Rd7+ Ke6 45. Rxh7 Rb3 46. Bd4 Rxa3 47. Rc7 Ra2+ 48. Kf3 Kd5 49. Rd7+ Kc6 50. Rg7 Kd5 51. Rd7+ Kc6 52. Rg7 Kd5 53. Rd7+ 1/2-1/2'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 139,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[('1', (0, 1)),\n",
-       " ('e4', (2, 4)),\n",
-       " ('e5', (5, 7)),\n",
-       " ('2', (8, 9)),\n",
-       " ('Nf3', (10, 13)),\n",
-       " ('Nc6', (14, 17)),\n",
-       " ('3', (18, 19)),\n",
-       " ('d4', (20, 22)),\n",
-       " ('exd4', (23, 27)),\n",
-       " ('4', (28, 29)),\n",
-       " ('Nxd4', (30, 34)),\n",
-       " ('Nf6', (35, 38)),\n",
-       " ('5', (39, 40)),\n",
-       " ('Nxc6', (41, 45)),\n",
-       " ('bxc6', (46, 50)),\n",
-       " ('6', (51, 52)),\n",
-       " ('Bd3', (53, 56)),\n",
-       " ('d5', (57, 59)),\n",
-       " ('7', (60, 61)),\n",
-       " ('exd5', (62, 66)),\n",
-       " ('cxd5', (67, 71)),\n",
-       " ('8', (72, 73)),\n",
-       " ('O-O', (74, 77)),\n",
-       " ('Be7', (78, 81)),\n",
-       " ('9', (82, 83)),\n",
-       " ('c4', (84, 86)),\n",
-       " ('O-O', (87, 90)),\n",
-       " ('10', (91, 93)),\n",
-       " ('cxd5', (94, 98)),\n",
-       " ('Bb7', (99, 102)),\n",
-       " ('11', (103, 105)),\n",
-       " ('Nc3', (106, 109)),\n",
-       " ('Nxd5', (110, 114)),\n",
-       " ('12', (115, 117)),\n",
-       " ('Bd2', (118, 121)),\n",
-       " ('Nb4', (122, 125)),\n",
-       " ('13', (126, 128)),\n",
-       " ('Be4', (129, 132)),\n",
-       " ('Bxe4', (133, 137)),\n",
-       " ('14', (138, 140)),\n",
-       " ('Nxe4', (141, 145)),\n",
-       " ('c5', (146, 148)),\n",
-       " ('15', (149, 151)),\n",
-       " ('Bc3', (152, 155)),\n",
-       " ('Qxd1', (156, 160)),\n",
-       " ('16', (161, 163)),\n",
-       " ('Rfxd1', (164, 169)),\n",
-       " ('Rad8', (170, 174)),\n",
-       " ('17', (175, 177)),\n",
-       " ('a3', (178, 180)),\n",
-       " ('Nd5', (181, 184)),\n",
-       " ('18', (185, 187)),\n",
-       " ('Ba5', (188, 191)),\n",
-       " ('Nb6', (192, 195)),\n",
-       " ('19', (196, 198)),\n",
-       " ('Nc3', (199, 202)),\n",
-       " ('Bf6', (203, 206)),\n",
-       " ('20', (207, 209)),\n",
-       " ('Rac1', (210, 214)),\n",
-       " ('Bxc3', (215, 219)),\n",
-       " ('21', (220, 222)),\n",
-       " ('Bxc3', (223, 227)),\n",
-       " ('Rxd1+', (228, 233)),\n",
-       " ('22', (234, 236)),\n",
-       " ('Rxd1', (237, 241)),\n",
-       " ('f6', (242, 244)),\n",
-       " ('23', (245, 247)),\n",
-       " ('Kf1', (248, 251)),\n",
-       " ('Kf7', (252, 255)),\n",
-       " ('24', (256, 258)),\n",
-       " ('Rc1', (259, 262)),\n",
-       " ('Rd8', (263, 266)),\n",
-       " ('25', (267, 269)),\n",
-       " ('Ke2', (270, 273)),\n",
-       " ('Ke6', (274, 277)),\n",
-       " ('26', (278, 280)),\n",
-       " ('Bd2', (281, 284)),\n",
-       " ('c4', (285, 287)),\n",
-       " ('27', (288, 290)),\n",
-       " ('Be3', (291, 294)),\n",
-       " ('Rb8', (295, 298)),\n",
-       " ('28', (299, 301)),\n",
-       " ('Rc2', (302, 305)),\n",
-       " ('Rb7', (306, 309)),\n",
-       " ('29', (310, 312)),\n",
-       " ('h3', (313, 315)),\n",
-       " ('Kd5', (316, 319)),\n",
-       " ('30', (320, 322)),\n",
-       " ('Rd2+', (323, 327)),\n",
-       " ('Ke6', (328, 331)),\n",
-       " ('31', (332, 334)),\n",
-       " ('Rd4', (335, 338)),\n",
-       " ('a5', (339, 341)),\n",
-       " ('32', (342, 344)),\n",
-       " ('g3', (345, 347)),\n",
-       " ('Nd5', (348, 351)),\n",
-       " ('33', (352, 354)),\n",
-       " ('Bc1', (355, 358)),\n",
-       " ('Nb6', (359, 362)),\n",
-       " ('34', (363, 365)),\n",
-       " ('h4', (366, 368)),\n",
-       " ('g6', (369, 371)),\n",
-       " ('35', (372, 374)),\n",
-       " ('Bd2', (375, 378)),\n",
-       " ('Nd5', (379, 382)),\n",
-       " ('36', (383, 385)),\n",
-       " ('Bc1', (386, 389)),\n",
-       " ('Nb6', (390, 393)),\n",
-       " ('37', (394, 396)),\n",
-       " ('Bd2', (397, 400)),\n",
-       " ('Nd5', (401, 404)),\n",
-       " ('38', (405, 407)),\n",
-       " ('Rxc4', (408, 412)),\n",
-       " ('Rxb2', (413, 417)),\n",
-       " ('39', (418, 420)),\n",
-       " ('Ke1', (421, 424)),\n",
-       " ('Nb6', (425, 428)),\n",
-       " ('40', (429, 431)),\n",
-       " ('Re4+', (432, 436)),\n",
-       " ('Kd5', (437, 440)),\n",
-       " ('41', (441, 443)),\n",
-       " ('Re7', (444, 447)),\n",
-       " ('Rb1+', (448, 452)),\n",
-       " ('42', (453, 455)),\n",
-       " ('Ke2', (456, 459)),\n",
-       " ('Nc4', (460, 463)),\n",
-       " ('43', (464, 466)),\n",
-       " ('Bc3', (467, 470)),\n",
-       " ('f5', (471, 473)),\n",
-       " ('44', (474, 476)),\n",
-       " ('Rd7+', (477, 481)),\n",
-       " ('Ke6', (482, 485)),\n",
-       " ('45', (486, 488)),\n",
-       " ('Rxh7', (489, 493)),\n",
-       " ('Rb3', (494, 497)),\n",
-       " ('46', (498, 500)),\n",
-       " ('Bd4', (501, 504)),\n",
-       " ('Rxa3', (505, 509)),\n",
-       " ('47', (510, 512)),\n",
-       " ('Rc7', (513, 516)),\n",
-       " ('Ra2+', (517, 521)),\n",
-       " ('48', (522, 524)),\n",
-       " ('Kf3', (525, 528)),\n",
-       " ('Kd5', (529, 532)),\n",
-       " ('49', (533, 535)),\n",
-       " ('Rd7+', (536, 540)),\n",
-       " ('Kc6', (541, 544)),\n",
-       " ('50', (545, 547)),\n",
-       " ('Rg7', (548, 551)),\n",
-       " ('Kd5', (552, 555)),\n",
-       " ('51', (556, 558)),\n",
-       " ('Rd7+', (559, 563)),\n",
-       " ('Kc6', (564, 567)),\n",
-       " ('52', (568, 570)),\n",
-       " ('Rg7', (571, 574)),\n",
-       " ('Kd5', (575, 578)),\n",
-       " ('53', (579, 581)),\n",
-       " ('Rd7+', (582, 586))]"
-      ]
-     },
-     "execution_count": 139,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "tokenizer.pre_tokenizer.pre_tokenize_str(tokenizer.normalizer.normalize_str(test_str))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 140,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['1',\n",
-       " 'e4',\n",
-       " 'e5',\n",
-       " '2',\n",
-       " 'Nf3',\n",
-       " 'Nc6',\n",
-       " '3',\n",
-       " 'd4',\n",
-       " 'exd4',\n",
-       " '4',\n",
-       " 'Nxd4',\n",
-       " 'Nf6',\n",
-       " '5',\n",
-       " 'Nxc6',\n",
-       " 'bxc6',\n",
-       " '6',\n",
-       " 'Bd3',\n",
-       " 'd5',\n",
-       " '7',\n",
-       " 'exd5',\n",
-       " 'cxd5',\n",
-       " '8',\n",
-       " 'O-O',\n",
-       " 'Be7',\n",
-       " '9',\n",
-       " 'c4',\n",
-       " 'O-O',\n",
-       " '10',\n",
-       " 'cxd5',\n",
-       " 'Bb7',\n",
-       " '11',\n",
-       " 'Nc3',\n",
-       " 'Nxd5',\n",
-       " '12',\n",
-       " 'Bd2',\n",
-       " 'Nb4',\n",
-       " '13',\n",
-       " 'Be4',\n",
-       " 'Bxe4',\n",
-       " '14',\n",
-       " 'Nxe4',\n",
-       " 'c5',\n",
-       " '15',\n",
-       " 'Bc3',\n",
-       " 'Qxd1',\n",
-       " '16',\n",
-       " 'Rfxd1',\n",
-       " 'Rad8',\n",
-       " '17',\n",
-       " 'a3',\n",
-       " 'Nd5',\n",
-       " '18',\n",
-       " 'Ba5',\n",
-       " 'Nb6',\n",
-       " '19',\n",
-       " 'Nc3',\n",
-       " 'Bf6',\n",
-       " '20',\n",
-       " 'Rac1',\n",
-       " 'Bxc3',\n",
-       " '21',\n",
-       " 'Bxc3',\n",
-       " 'Rxd1+',\n",
-       " '22',\n",
-       " 'Rxd1',\n",
-       " 'f6',\n",
-       " '23',\n",
-       " 'Kf1',\n",
-       " 'Kf7',\n",
-       " '24',\n",
-       " 'Rc1',\n",
-       " 'Rd8',\n",
-       " '25',\n",
-       " 'Ke2',\n",
-       " 'Ke6',\n",
-       " '26',\n",
-       " 'Bd2',\n",
-       " 'c4',\n",
-       " '27',\n",
-       " 'Be3',\n",
-       " 'Rb8',\n",
-       " '28',\n",
-       " 'Rc2',\n",
-       " 'Rb7',\n",
-       " '29',\n",
-       " 'h3',\n",
-       " 'Kd5',\n",
-       " '30',\n",
-       " 'Rd2+',\n",
-       " 'Ke6',\n",
-       " '31',\n",
-       " 'Rd4',\n",
-       " 'a5',\n",
-       " '32',\n",
-       " 'g3',\n",
-       " 'Nd5',\n",
-       " '33',\n",
-       " 'Bc1',\n",
-       " 'Nb6',\n",
-       " '34',\n",
-       " 'h4',\n",
-       " 'g6',\n",
-       " '35',\n",
-       " 'Bd2',\n",
-       " 'Nd5',\n",
-       " '36',\n",
-       " 'Bc1',\n",
-       " 'Nb6',\n",
-       " '37',\n",
-       " 'Bd2',\n",
-       " 'Nd5',\n",
-       " '38',\n",
-       " 'Rxc4',\n",
-       " 'Rxb2',\n",
-       " '39',\n",
-       " 'Ke1',\n",
-       " 'Nb6',\n",
-       " '40',\n",
-       " 'Re4+',\n",
-       " 'Kd5',\n",
-       " '41',\n",
-       " 'Re7',\n",
-       " 'Rb1+',\n",
-       " '42',\n",
-       " 'Ke2',\n",
-       " 'Nc4',\n",
-       " '43',\n",
-       " 'Bc3',\n",
-       " 'f5',\n",
-       " '44',\n",
-       " 'Rd7+',\n",
-       " 'Ke6',\n",
-       " '45',\n",
-       " 'Rxh7',\n",
-       " 'Rb3',\n",
-       " '46',\n",
-       " 'Bd4',\n",
-       " 'Rxa3',\n",
-       " '47',\n",
-       " 'Rc7',\n",
-       " 'Ra2+',\n",
-       " '48',\n",
-       " 'Kf3',\n",
-       " 'Kd5',\n",
-       " '49',\n",
-       " 'Rd7+',\n",
-       " 'Kc6',\n",
-       " '50',\n",
-       " 'Rg7',\n",
-       " 'Kd5',\n",
-       " '51',\n",
-       " 'Rd7+',\n",
-       " 'Kc6',\n",
-       " '52',\n",
-       " 'Rg7',\n",
-       " 'Kd5',\n",
-       " '53',\n",
-       " 'Rd7+']"
-      ]
-     },
-     "execution_count": 140,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "tokenizer.encode(test_str).tokens"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 142,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
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-       " 414,\n",
-       " 77,\n",
-       " 121,\n",
-       " 112,\n",
-       " 176,\n",
-       " 122,\n",
-       " 572,\n",
-       " 319,\n",
-       " 125,\n",
-       " 73,\n",
-       " 100,\n",
-       " 126,\n",
-       " 253,\n",
-       " 176,\n",
-       " 128,\n",
-       " 572,\n",
-       " 319,\n",
-       " 131,\n",
-       " 253,\n",
-       " 176,\n",
-       " 136,\n",
-       " 553,\n",
-       " 578,\n",
-       " 139,\n",
-       " 487,\n",
-       " 319,\n",
-       " 143,\n",
-       " 1064,\n",
-       " 324,\n",
-       " 145,\n",
-       " 373,\n",
-       " 854,\n",
-       " 149,\n",
-       " 239,\n",
-       " 254,\n",
-       " 153,\n",
-       " 400,\n",
-       " 140,\n",
-       " 156,\n",
-       " 785,\n",
-       " 246,\n",
-       " 160,\n",
-       " 820,\n",
-       " 475,\n",
-       " 165,\n",
-       " 305,\n",
-       " 708,\n",
-       " 169,\n",
-       " 326,\n",
-       " 801,\n",
-       " 179,\n",
-       " 225,\n",
-       " 324,\n",
-       " 186,\n",
-       " 785,\n",
-       " 350,\n",
-       " 194,\n",
-       " 595,\n",
-       " 324,\n",
-       " 200,\n",
-       " 785,\n",
-       " 350,\n",
-       " 210,\n",
-       " 595,\n",
-       " 324,\n",
-       " 224,\n",
-       " 785]"
-      ]
-     },
-     "execution_count": 142,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "tokenizer.encode(test_str)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 143,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "13677"
-      ]
-     },
-     "execution_count": 143,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "tokenizer.get_vocab_size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "chess",
-   "language": "python",
-   "name": "python3"
-  },
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-    "name": "ipython",
-    "version": 3
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-   "nbconvert_exporter": "python",
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- "nbformat_minor": 2
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