record_id string | benchmark string | source string | token_count int64 | chunk_count int64 |
|---|---|---|---|---|
BioASQ:0000000 | BioASQ | train_bio | 380 | 1 |
BioASQ:0000001 | BioASQ | train_bio | 350 | 1 |
BioASQ:0000002 | BioASQ | train_bio | 349 | 1 |
BioASQ:0000003 | BioASQ | train_bio | 296 | 1 |
BioASQ:0000004 | BioASQ | train_bio | 249 | 1 |
BioASQ:0000005 | BioASQ | train_bio | 249 | 1 |
BioASQ:0000006 | BioASQ | train_bio | 289 | 1 |
BioASQ:0000007 | BioASQ | train_bio | 423 | 1 |
BioASQ:0000008 | BioASQ | train_bio | 423 | 1 |
BioASQ:0000009 | BioASQ | train_bio | 364 | 1 |
BioASQ:0000010 | BioASQ | train_bio | 364 | 1 |
BioASQ:0000011 | BioASQ | train_bio | 206 | 1 |
BioASQ:0000012 | BioASQ | train_bio | 303 | 1 |
BioASQ:0000013 | BioASQ | train_bio | 303 | 1 |
BioASQ:0000014 | BioASQ | train_bio | 275 | 1 |
BioASQ:0000015 | BioASQ | train_bio | 275 | 1 |
BioASQ:0000016 | BioASQ | train_bio | 275 | 1 |
BioASQ:0000017 | BioASQ | train_bio | 477 | 1 |
BioASQ:0000018 | BioASQ | train_bio | 419 | 1 |
BioASQ:0000019 | BioASQ | train_bio | 419 | 1 |
BioASQ:0000020 | BioASQ | train_bio | 419 | 1 |
BioASQ:0000021 | BioASQ | train_bio | 439 | 1 |
BioASQ:0000022 | BioASQ | train_bio | 439 | 1 |
BioASQ:0000023 | BioASQ | train_bio | 439 | 1 |
BioASQ:0000024 | BioASQ | train_bio | 439 | 1 |
BioASQ:0000025 | BioASQ | train_bio | 439 | 1 |
BioASQ:0000026 | BioASQ | train_bio | 439 | 1 |
BioASQ:0000027 | BioASQ | train_bio | 439 | 1 |
BioASQ:0000028 | BioASQ | train_bio | 254 | 1 |
BioASQ:0000029 | BioASQ | train_bio | 253 | 1 |
BioASQ:0000030 | BioASQ | train_bio | 166 | 1 |
BioASQ:0000031 | BioASQ | train_bio | 166 | 1 |
BioASQ:0000032 | BioASQ | train_bio | 508 | 1 |
BioASQ:0000033 | BioASQ | train_bio | 508 | 1 |
BioASQ:0000034 | BioASQ | train_bio | 286 | 1 |
BioASQ:0000035 | BioASQ | train_bio | 379 | 1 |
BioASQ:0000036 | BioASQ | train_bio | 379 | 1 |
BioASQ:0000037 | BioASQ | train_bio | 379 | 1 |
BioASQ:0000038 | BioASQ | train_bio | 295 | 1 |
BioASQ:0000039 | BioASQ | train_bio | 295 | 1 |
BioASQ:0000040 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000041 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000042 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000043 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000044 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000045 | BioASQ | train_bio | 459 | 1 |
BioASQ:0000046 | BioASQ | train_bio | 459 | 1 |
BioASQ:0000047 | BioASQ | train_bio | 356 | 1 |
BioASQ:0000048 | BioASQ | train_bio | 296 | 1 |
BioASQ:0000049 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000050 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000051 | BioASQ | train_bio | 286 | 1 |
BioASQ:0000052 | BioASQ | train_bio | 296 | 1 |
BioASQ:0000053 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000054 | BioASQ | train_bio | 598 | 1 |
BioASQ:0000055 | BioASQ | train_bio | 430 | 1 |
BioASQ:0000056 | BioASQ | train_bio | 393 | 1 |
BioASQ:0000057 | BioASQ | train_bio | 393 | 1 |
BioASQ:0000058 | BioASQ | train_bio | 264 | 1 |
BioASQ:0000059 | BioASQ | train_bio | 300 | 1 |
BioASQ:0000060 | BioASQ | train_bio | 471 | 1 |
BioASQ:0000061 | BioASQ | train_bio | 470 | 1 |
BioASQ:0000062 | BioASQ | train_bio | 578 | 1 |
BioASQ:0000063 | BioASQ | train_bio | 542 | 1 |
BioASQ:0000064 | BioASQ | train_bio | 542 | 1 |
BioASQ:0000065 | BioASQ | train_bio | 314 | 1 |
BioASQ:0000066 | BioASQ | train_bio | 430 | 1 |
BioASQ:0000067 | BioASQ | train_bio | 515 | 1 |
BioASQ:0000068 | BioASQ | train_bio | 604 | 1 |
BioASQ:0000069 | BioASQ | train_bio | 239 | 1 |
BioASQ:0000070 | BioASQ | train_bio | 239 | 1 |
BioASQ:0000071 | BioASQ | train_bio | 376 | 1 |
BioASQ:0000072 | BioASQ | train_bio | 278 | 1 |
BioASQ:0000073 | BioASQ | train_bio | 571 | 1 |
BioASQ:0000074 | BioASQ | train_bio | 271 | 1 |
BioASQ:0000075 | BioASQ | train_bio | 271 | 1 |
BioASQ:0000076 | BioASQ | train_bio | 604 | 1 |
BioASQ:0000077 | BioASQ | train_bio | 239 | 1 |
BioASQ:0000078 | BioASQ | train_bio | 420 | 1 |
BioASQ:0000079 | BioASQ | train_bio | 420 | 1 |
BioASQ:0000080 | BioASQ | train_bio | 604 | 1 |
BioASQ:0000081 | BioASQ | train_bio | 239 | 1 |
BioASQ:0000082 | BioASQ | train_bio | 426 | 1 |
BioASQ:0000083 | BioASQ | train_bio | 424 | 1 |
BioASQ:0000084 | BioASQ | train_bio | 424 | 1 |
BioASQ:0000085 | BioASQ | train_bio | 326 | 1 |
BioASQ:0000086 | BioASQ | train_bio | 384 | 1 |
BioASQ:0000087 | BioASQ | train_bio | 381 | 1 |
BioASQ:0000088 | BioASQ | train_bio | 410 | 1 |
BioASQ:0000089 | BioASQ | train_bio | 408 | 1 |
BioASQ:0000090 | BioASQ | train_bio | 386 | 1 |
BioASQ:0000091 | BioASQ | train_bio | 384 | 1 |
BioASQ:0000092 | BioASQ | train_bio | 610 | 1 |
BioASQ:0000093 | BioASQ | train_bio | 607 | 1 |
BioASQ:0000094 | BioASQ | train_bio | 561 | 1 |
BioASQ:0000095 | BioASQ | train_bio | 558 | 1 |
BioASQ:0000096 | BioASQ | train_bio | 367 | 1 |
BioASQ:0000097 | BioASQ | train_bio | 366 | 1 |
BioASQ:0000098 | BioASQ | train_bio | 338 | 1 |
BioASQ:0000099 | BioASQ | train_bio | 335 | 1 |
End of preview. Expand in Data Studio
scienceeval
Helpful evals for understanding the capabilities of models across a broad swath of science benchmarks.
This artifact bundle contains full-corpus benchmark embeddings and projection
coordinates for 69,315 science benchmark items.The embeddings were generated with pplx-embed-v1-0.6B, reduced to 50
dimensions with PCA, and projected with t-SNE, UMAP, and PCA. The t-SNE figure
above shows a balanced visible sample over soft contours from the full-corpus
distribution.
Included Files
record_embeddings.npy: normalized record-level embedding matrixmetadata.parquet: record ids, benchmark names, sources, and token countsprojection_tsne.parquet: t-SNE coordinatesprojection_umap.parquet: UMAP coordinatesprojection_pca.parquet: PCA coordinatesprojection_metrics.json: projection quality metricstoken_audit.json: token and chunk summaries by benchmarkbenchmark-fossil-embedding-tsne.png: rendered t-SNE figurebenchmark-fossil-embedding-umap.png: rendered UMAP figurebenchmark-fossil-embedding-pca.png: rendered PCA figure
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