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Datasets:
Spedoske
/
escalate-bench

Tasks:
Other
Languages:
English
Size:
1K<n<10K
Tags:
benchmark
systems
program-repair
rodinia
parsec
Dataset card Files
xet
 Community
kashun commited on
Commit
0cbdbf1
·
1 Parent(s): 98b6f51

Add Escalate Bench dataset archive and metadata

Browse files
Files changed (6) hide show
  1. DATASET_CARD.md +35 -0
  2. OPENREVIEW_CHECKLIST.md +25 -0
  3. README.md +50 -3
  4. croissant.json +674 -0
  5. escalate-bench-0.1.0.tar.gz +3 -0
  6. inventory.json +952 -0
DATASET_CARD.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Escalate Bench Dataset Card
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+
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+ ## Access
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+
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+ - Dataset landing page: https://huggingface.co/datasets/Spedoske/escalate-bench
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+ - Archive URL: https://huggingface.co/datasets/Spedoske/escalate-bench/resolve/main/escalate-bench-0.1.0.tar.gz
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+ - Code URL: https://huggingface.co/datasets/Spedoske/escalate-bench
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+ - Version: 0.1.0
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+
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+
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+ ## Contents
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+
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+ - Total files: 3064
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+ - Total unpacked size: 2524509445 bytes
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+ - Benchmark programs: 31
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+ - Enabled benchmark input sets: 94
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+
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+ - parsec: 12 programs
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+ - rodinia: 19 programs
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+
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+ ## Intended Use
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+
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+ Escalate Bench is intended for evaluating systems that prepare, build, run, and compare single-thread benchmark programs. The Python API creates writable benchmark work directories, materializes benchmark inputs, returns build/run command plans, and compares semantic output files from reference and candidate executions.
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+
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+ ## Composition
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+
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+ The archive contains benchmark source trees under `benchmarks/`, benchmark inputs and `inputs.json` manifests under `inputs/`, a Python package under `src/escalate_bench/`, documentation under `docs/`, and API tests under `tests/`.
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+
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+ ## Responsible AI Notes
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+
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+ The dataset is a systems benchmark artifact, not a human-subject dataset. It is biased toward selected Rodinia and PARSEC workloads and should not be interpreted as representative of all CPU or systems workloads. Some inherited upstream media inputs may depict generic people or scenes; review upstream license and attribution requirements before public release.
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+
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+ ## Blind Review Notes
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+
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+ This file intentionally omits author names, affiliations, emails, funding, and institution-specific paths. Keep hosted repository metadata, commit history, package metadata, and platform account names anonymous for double-blind review.
OPENREVIEW_CHECKLIST.md ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # OpenReview Submission Checklist
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+
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+ ## Upload / Form Fields
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+
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+ - Dataset URL: https://huggingface.co/datasets/Spedoske/escalate-bench
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+ - Dataset archive URL: https://huggingface.co/datasets/Spedoske/escalate-bench/resolve/main/escalate-bench-0.1.0.tar.gz
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+ - Code URL: https://huggingface.co/datasets/Spedoske/escalate-bench
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+ - Croissant metadata file: `croissant.json`
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+ - Archive SHA256: ab04189fd79c384810f55230c822770b70b8d2666493dc48b006f6cb69ab2b66
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+
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+ ## Before Submission
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+
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+ - Replace all `example.com/anonymous` placeholder URLs.
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+ - Confirm reviewer access works in an incognito browser without exposing reviewer identity.
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+ - Run the official Croissant validator on `croissant.json`.
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+ - Confirm Croissant metadata contains no author names, affiliations, emails, local paths, funding, acknowledgments, private bucket names, or lab server hostnames.
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+ - Confirm the hosted repository/account is anonymous for double-blind review.
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+ - Confirm top-level licensing and upstream benchmark redistribution terms are correct.
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+ - Confirm OpenReview dataset URL and code URL point to reviewer-accessible pages, not local files.
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+
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+ ## Optional Local Archive Command
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+
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+ ```sh
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+ python scripts/prepare_neurips_submission.py --make-archive --dataset-url DATASET_URL --archive-url ARCHIVE_URL --code-url CODE_URL
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+ ```
README.md CHANGED
@@ -1,3 +1,50 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pretty_name: Escalate Bench
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+ task_categories:
4
+ - other
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+ language:
6
+ - en
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+ tags:
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+ - benchmark
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+ - systems
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+ - program-repair
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+ - rodinia
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+ - parsec
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # Escalate Bench Dataset Card
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+
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+ ## Access
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+
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+ - Dataset landing page: https://huggingface.co/datasets/Spedoske/escalate-bench
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+ - Archive URL: https://huggingface.co/datasets/Spedoske/escalate-bench/resolve/main/escalate-bench-0.1.0.tar.gz
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+ - Code URL: https://huggingface.co/datasets/Spedoske/escalate-bench
24
+ - Version: 0.1.0
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+
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+ ## Contents
27
+
28
+ - Total files: 3064
29
+ - Total unpacked size: 2524509235 bytes
30
+ - Benchmark programs: 31
31
+ - Enabled benchmark input sets: 94
32
+
33
+ - parsec: 12 programs
34
+ - rodinia: 19 programs
35
+
36
+ ## Intended Use
37
+
38
+ Escalate Bench is intended for evaluating systems that prepare, build, run, and compare single-thread benchmark programs. The Python API creates writable benchmark work directories, materializes benchmark inputs, returns build/run command plans, and compares semantic output files from reference and candidate executions.
39
+
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+ ## Composition
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+
42
+ The archive contains benchmark source trees under `benchmarks/`, benchmark inputs and `inputs.json` manifests under `inputs/`, a Python package under `src/escalate_bench/`, documentation under `docs/`, and API tests under `tests/`.
43
+
44
+ ## Responsible AI Notes
45
+
46
+ The dataset is a systems benchmark artifact, not a human-subject dataset. It is biased toward selected Rodinia and PARSEC workloads and should not be interpreted as representative of all CPU or systems workloads. Some inherited upstream media inputs may depict generic people or scenes; review upstream license and attribution requirements before public release.
47
+
48
+ ## Blind Review Notes
49
+
50
+ This file intentionally omits author names, affiliations, emails, funding, and institution-specific paths. Keep hosted repository metadata, commit history, package metadata, and platform account names anonymous for double-blind review.
croissant.json ADDED
@@ -0,0 +1,674 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "@context": {
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+ "@language": "en",
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+ "@vocab": "https://schema.org/",
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+ "sc": "https://schema.org/",
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+ "cr": "http://mlcommons.org/croissant/",
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+ "rai": "http://mlcommons.org/croissant/RAI/",
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+ "dct": "http://purl.org/dc/terms/",
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+ "conformsTo": "dct:conformsTo",
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+ "citeAs": "cr:citeAs",
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+ "data": {
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+ "@id": "cr:data",
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+ "dataType": {
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+ "@id": "cr:dataType",
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+ "fileSet": "cr:fileSet",
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+ "fileProperty": "cr:fileProperty",
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+ "containedIn": "cr:containedIn",
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+ "includes": "cr:includes",
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+ "excludes": "cr:excludes",
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+ "key": "cr:key",
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+ "recordSet": "cr:recordSet",
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+ "source": "cr:source",
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+ "extract": "cr:extract",
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+ "repeated": "cr:repeated",
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+ "sha256": "cr:sha256"
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+ },
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+ "@type": "sc:Dataset",
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+ "@id": "https://huggingface.co/datasets/Spedoske/escalate-bench",
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+ "name": "Escalate Bench",
35
+ "alternateName": "escalate-bench",
36
+ "description": "A benchmark support dataset and Python API for preparing single-thread Rodinia and PARSEC program work directories, materializing explicit input sets, producing build/run plans, and comparing semantic outputs from reference and candidate executions.",
37
+ "url": "https://huggingface.co/datasets/Spedoske/escalate-bench",
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+ "codeRepository": "https://huggingface.co/datasets/Spedoske/escalate-bench",
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+ "version": "0.1.0",
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+ "datePublished": "2026-05-07",
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+ "license": "License terms pending. Preserve upstream benchmark licenses and replace this placeholder before submission.",
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+ "creator": {
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+ "@type": "sc:Organization",
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+ "name": "Anonymous"
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+ },
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+ "keywords": [
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+ "benchmark",
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+ "program repair",
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+ "systems",
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+ "Rodinia",
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+ "PARSEC",
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+ "semantic output comparison",
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+ "single-thread benchmarks"
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+ ],
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+ "conformsTo": [
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+ "http://mlcommons.org/croissant/1.1",
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+ "http://mlcommons.org/croissant/RAI/1.0"
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+ ],
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+ "distribution": [
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+ {
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+ "@type": "cr:FileObject",
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+ "@id": "escalate-bench-archive",
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+ "name": "escalate-bench-0.1.0.tar.gz",
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+ "description": "Full benchmark support source tree, benchmark inputs, Python API, documentation, and tests.",
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+ "contentUrl": "https://huggingface.co/datasets/Spedoske/escalate-bench/resolve/main/escalate-bench-0.1.0.tar.gz",
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+ "encodingFormat": "application/gzip",
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+ "contentSize": "1003890236 B",
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+ "sha256": "ab04189fd79c384810f55230c822770b70b8d2666493dc48b006f6cb69ab2b66"
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+ },
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+ {
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+ "@type": "cr:FileSet",
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+ "@id": "benchmark-source-files",
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+ "name": "benchmark-source-files",
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+ "description": "Benchmark C/C++ source trees.",
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+ "containedIn": {
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+ "@id": "escalate-bench-archive"
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+ },
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+ "includes": "benchmarks/**"
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+ },
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+ {
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+ "@type": "cr:FileSet",
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+ "@id": "benchmark-input-files",
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+ "name": "benchmark-input-files",
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+ "description": "Benchmark input files and input manifests.",
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+ "containedIn": {
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+ "@id": "escalate-bench-archive"
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+ },
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+ "includes": "inputs/**"
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+ },
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+ "@type": "cr:FileSet",
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+ "@id": "python-api-files",
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+ "README.md",
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+ ]
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+ "@id": "benchmark-programs",
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+ "name": "Benchmark programs",
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+ "description": "One record per benchmark adapter and input manifest.",
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+ "program"
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+ "@type": "cr:Field",
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+ "@id": "benchmark-programs/enabled_input_count",
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+ "files"
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+ "files",
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+ },
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+ "suite": "rodinia",
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+ "declared_input_count": 3,
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+ "enabled_inputs": [
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+ "simlarge",
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+ "native"
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+ ],
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+ "input_kinds": [
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+ "none"
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+ ],
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+ "agent_eval_input": "simlarge"
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+ },
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+ {
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+ "suite": "rodinia",
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+ "program": "bfs",
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+ ],
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+ "input_kinds": [
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+ "generated"
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+ ],
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+ },
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+ "suite": "rodinia",
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