Upload dataset_task2 splits (train, validation, test)

test/sample_000000/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000000",
+  "puzzle_id": "TcdsK",
+  "task": "task2",
+  "fen": "4Q3/p5pp/2p1p1k1/2Pp4/3n2B1/8/P2q2rP/5R1K b - - 5 28",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Kg5",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

test/sample_000001/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000001",
+  "puzzle_id": "OARnq",
+  "task": "task2",
+  "fen": "3q1rk1/1p1bbppp/p3p3/1n1pP3/3N1P2/3QB2P/PPB3P1/2R3K1 b - - 4 22",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Nxd4",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

test/sample_000002/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000002",
+  "puzzle_id": "80JZP",
+  "task": "task2",
+  "fen": "8/2Kbk3/1B1p4/2pPp3/2B1Pp2/pP6/Pr3R2/8 w - - 1 51",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Rxb2",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

test/sample_000003/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000003",
+  "puzzle_id": "Ol6gP",
+  "task": "task2",
+  "fen": "6k1/4bppp/2b1p3/1pNpP3/3P4/P3B3/r4PPP/2R3K1 w - - 4 27",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Nxe6",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000000/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000000",
+  "puzzle_id": "2GDeK",
+  "task": "task2",
+  "fen": "r1b2rk1/ppRq3p/3p2p1/3PPp2/8/3B1NP1/2Q2K1P/8 b - - 1 30",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Qe8",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000001/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000001",
+  "puzzle_id": "0wbi8",
+  "task": "task2",
+  "fen": "2rqk2r/pp1nppbp/5np1/3N2B1/3P4/4PQ1P/PP3PP1/R3KB1R w KQk - 1 11",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Bb5",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000002/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000002",
+  "puzzle_id": "D2hb6",
+  "task": "task2",
+  "fen": "3r1qrk/5p1p/p3pPp1/1p6/2p4Q/3B3R/PPP2PPP/6K1 b - - 1 26",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "h5",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000003/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000003",
+  "puzzle_id": "pE4Sx",
+  "task": "task2",
+  "fen": "8/5p2/1r6/2K1k3/1P1N4/7P/8/8 b - - 2 49",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Rb8",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000004/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000004",
+  "puzzle_id": "JkqQg",
+  "task": "task2",
+  "fen": "6k1/p2r1p2/3Np2p/2P1b3/5P2/1P3Rpb/P2QP1Bq/2R2K2 w - - 4 31",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Bxh3",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000005/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000005",
+  "puzzle_id": "ycKtk",
+  "task": "task2",
+  "fen": "3rr2k/pQp1q1bp/5pp1/5b2/8/2Pn1NP1/PP2PPBP/R1B1R1K1 w - - 3 19",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "exd3",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000006/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000006",
+  "puzzle_id": "jAI6L",
+  "task": "task2",
+  "fen": "1qk4r/1p3ppr/p1p3p1/3p4/Q5n1/P3P2P/1P1B1PP1/R2R2K1 b - - 11 23",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Rxh3",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000007/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000007",
+  "puzzle_id": "YwFEa",
+  "task": "task2",
+  "fen": "3r3k/p2q2p1/1p3p1R/2p5/2P1bP2/1P1r4/PB5R/2K1Q3 b - - 0 34",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Kg8",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000008/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000008",
+  "puzzle_id": "PX1st",
+  "task": "task2",
+  "fen": "2Q5/5rk1/5n1p/p5p1/PpN1P3/1P6/4Bq1P/6RK w - - 2 39",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Rg2",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000009/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000009",
+  "puzzle_id": "wxfOn",
+  "task": "task2",
+  "fen": "3r1nk1/pp2R1p1/2pn4/6p1/8/1P6/P4P1P/4R1K1 b - - 1 32",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Rd7",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000010/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000010",
+  "puzzle_id": "jsdqV",
+  "task": "task2",
+  "fen": "2n4k/2p2b1p/p2qNbp1/1p1P1p2/1P6/PBP1Q2P/5PK1/2B5 w - - 8 28",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "c4",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000011/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000011",
+  "puzzle_id": "n3Uo4",
+  "task": "task2",
+  "fen": "r3r1k1/1p3ppp/8/p2p4/P7/2P1PPq1/B2Q4/3RK2R w K - 0 25",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Qf2",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000012/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000012",
+  "puzzle_id": "g7LS8",
+  "task": "task2",
+  "fen": "6B1/6p1/7p/5P2/1p2nkPK/8/P7/8 w - - 3 50",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Kh5",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000013/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000013",
+  "puzzle_id": "M04Bm",
+  "task": "task2",
+  "fen": "8/8/5ppp/pk6/2p2PPP/2P5/1K6/8 b - - 1 46",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Ka4",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000014/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000014",
+  "puzzle_id": "xxix0",
+  "task": "task2",
+  "fen": "4rrk1/pp4pp/3q2n1/3pN2n/3P1P2/2PQ2R1/PP1N3P/5R1K w - - 7 26",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Rh3",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000015/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000015",
+  "puzzle_id": "QfMBq",
+  "task": "task2",
+  "fen": "3q4/5rpk/4R1np/bp3p1Q/pNr5/P6P/1P3PP1/4R1K1 b - - 13 33",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Nf4",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000016/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000016",
+  "puzzle_id": "ddNXk",
+  "task": "task2",
+  "fen": "8/2p5/8/p1k2p1p/2P5/3K1P1P/P1N2b2/8 w - - 0 37",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Ne3",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000017/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000017",
+  "puzzle_id": "lP41O",
+  "task": "task2",
+  "fen": "rn4k1/p5pp/1P2p3/3pP3/q7/P1QPP3/6PP/5RK1 b - - 0 22",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "axb6",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000018/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000018",
+  "puzzle_id": "Q4Gpp",
+  "task": "task2",
+  "fen": "2Rr1k2/2R2pp1/4p2p/8/P7/4K1P1/3r3P/8 b - - 0 54",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Rxc8",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000019/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000019",
+  "puzzle_id": "20jMs",
+  "task": "task2",
+  "fen": "r4rk1/1bq1pp1p/p5p1/npp5/6n1/1NP1PN2/PPB1QPPP/3R1RK1 w - - 6 19",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "h3",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}

train/sample_000020/metadata.json

@@ -0,0 +1,15 @@
+{
+  "sample_id": "sample_000020",
+  "puzzle_id": "6Ixyo",
+  "task": "task2",
+  "fen": "rb4r1/1p3p1k/3p3B/qN2pP1N/2P1P2P/4Q3/6BK/4n3 b - - 1 35",
+  "prompt": "You are a specialized model for chessboard understanding.\nYour goal is to predict the last move played on the board based on the highlighted squares.\nInput:\n- Board Image: The visual representation with the last move highlighted.\nOutput Format:\nReturn only the move in Standard Algebraic Notation (SAN).",
+  "target": "Nxg2",
+  "image_count": 1,
+  "image_files": [
+    "board.png"
+  ],
+  "image_size": 512,
+  "patch_order": "row_major",
+  "patch_size": 16
+}