Datasets:
Long-context agent benchmark: facts, tool calls and rules far back in the context (items, score.py, card)
7fa7e5a verified | { | |
| "tokenizer": "Qwen/Qwen3.5-2B", | |
| "tokenizer_fingerprint": "11103b8043ef987cacd3b8e72758909cacceb3311f120c6677f346228549cc71", | |
| "fingerprint": "sha256 of the vocabulary, one token<TAB>id line per id in id order", | |
| "licenses": { | |
| "facts": "cc-by-sa-4.0", | |
| "tool_calls": "cc-by-4.0", | |
| "rules_en": "cc-by-4.0", | |
| "rules_cs": "cc-by-4.0", | |
| "rules_de": "cc-by-4.0", | |
| "third_party_text": "keeps the licence of its source (see sources)" | |
| }, | |
| "generator": { | |
| "facts": { | |
| "lengths": [ | |
| 8192, | |
| 32768 | |
| ], | |
| "items_per_length": "8 at 8k, 7 at 32k", | |
| "facts_per_item": 8, | |
| "facts_in": "first third", | |
| "queries_in": "last third", | |
| "seed": 0 | |
| }, | |
| "tool_calls": { | |
| "lengths": [ | |
| 8192, | |
| 32768 | |
| ], | |
| "items_per_length": 16, | |
| "far_min_distance_tokens": 512, | |
| "fresh": "far, and no earlier call of the same tool in the 512 tokens before the target", | |
| "seed": 0 | |
| }, | |
| "rules": { | |
| "lengths": [ | |
| 8192, | |
| 32768 | |
| ], | |
| "sessions_per_length": 16, | |
| "families": [ | |
| "substitution", | |
| "redirect", | |
| "required" | |
| ], | |
| "placements": [ | |
| "system", | |
| "user" | |
| ], | |
| "languages": [ | |
| "en", | |
| "cs", | |
| "de" | |
| ], | |
| "far_min_distance_tokens": 512, | |
| "min_effect_nats": 1.0, | |
| "follow_ratio": 0.5, | |
| "seed": 0 | |
| } | |
| }, | |
| "sets": { | |
| "facts": { | |
| "items": { | |
| "8k": 8, | |
| "32k": 7 | |
| }, | |
| "targets": { | |
| "8k": 64, | |
| "32k": 56 | |
| } | |
| }, | |
| "tool_calls": { | |
| "items": { | |
| "8k": 16, | |
| "32k": 16 | |
| }, | |
| "targets": { | |
| "8k": 886, | |
| "32k": 3244 | |
| } | |
| }, | |
| "rules_en": { | |
| "items": { | |
| "8k": 82, | |
| "32k": 84 | |
| }, | |
| "targets": { | |
| "8k": 155, | |
| "32k": 605 | |
| } | |
| }, | |
| "rules_cs": { | |
| "items": { | |
| "8k": 82, | |
| "32k": 84 | |
| }, | |
| "targets": { | |
| "8k": 155, | |
| "32k": 605 | |
| } | |
| }, | |
| "rules_de": { | |
| "items": { | |
| "8k": 82, | |
| "32k": 84 | |
| }, | |
| "targets": { | |
| "8k": 155, | |
| "32k": 605 | |
| } | |
| } | |
| }, | |
| "sources": { | |
| "facts": [ | |
| { | |
| "dataset": "Salesforce/wikitext", | |
| "config": "wikitext-103-raw-v1", | |
| "split": "validation", | |
| "revision": "main", | |
| "license": "cc-by-sa-3.0 (and gfdl)", | |
| "url": "https://huggingface.co/datasets/Salesforce/wikitext", | |
| "attribution": "Text from English Wikipedia articles (Wikipedia contributors), via WikiText-103 (Merity et al. 2016)" | |
| } | |
| ], | |
| "tool_calls, rules_*": [ | |
| { | |
| "dataset": "nebius/SWE-agent-trajectories", | |
| "revision": "68195a1450865274106246d0d0296a1d6807b88e", | |
| "configs": null, | |
| "license": "cc-by-4.0", | |
| "url": "https://huggingface.co/datasets/nebius/SWE-agent-trajectories" | |
| }, | |
| { | |
| "dataset": "Kwai-Klear/SWE-smith-mini_swe_agent_plus-trajectories-66k", | |
| "revision": "750b2c11239fd5e32f97e6cfb9bf80fb9a9a2983", | |
| "configs": null, | |
| "license": "mit", | |
| "url": "https://huggingface.co/datasets/Kwai-Klear/SWE-smith-mini_swe_agent_plus-trajectories-66k" | |
| }, | |
| { | |
| "dataset": "AmanPriyanshu/random-python-github-repositories", | |
| "revision": "53690024aaa0f56f81700bf504d9d5e16ec81a4d", | |
| "configs": null, | |
| "license": "odc-by; repositories used: mit, apache-2.0, bsd or unlicense", | |
| "url": "https://huggingface.co/datasets/AmanPriyanshu/random-python-github-repositories" | |
| }, | |
| { | |
| "dataset": "codeparrot/github-code-clean", | |
| "revision": "c48d40f9e70f0196f8236901ee35807f7d6c44c0", | |
| "configs": null, | |
| "license": "apache-2.0 (card); files used: mit, apache-2.0, bsd-2-clause, bsd-3-clause, isc, unlicense or cc0-1.0", | |
| "url": "https://huggingface.co/datasets/codeparrot/github-code-clean" | |
| }, | |
| { | |
| "dataset": "NousResearch/hermes-function-calling-v1", | |
| "revision": "dae3e1d28cfbcf4b915c04ea1e072030529b4bda", | |
| "configs": [ | |
| "func_calling", | |
| "json_mode_agentic" | |
| ], | |
| "license": "apache-2.0", | |
| "url": "https://huggingface.co/datasets/NousResearch/hermes-function-calling-v1" | |
| }, | |
| { | |
| "dataset": "glaiveai/glaive-function-calling-v2", | |
| "revision": "e7f4b6456019f5d8bcb991ef0dd67d8ff23221ac", | |
| "configs": null, | |
| "license": "apache-2.0", | |
| "url": "https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2" | |
| }, | |
| { | |
| "dataset": "minpeter/xlam-function-calling-60k-parsed", | |
| "revision": "c6a0d61d66c5ac769c5c8c7de007322fa24f1825", | |
| "configs": null, | |
| "license": "cc-by-4.0", | |
| "url": "https://huggingface.co/datasets/minpeter/xlam-function-calling-60k-parsed" | |
| }, | |
| { | |
| "dataset": "HuggingFaceFW/fineweb-edu", | |
| "revision": "87f09149ef4734204d70ed1d046ddc9ca3f2b8f9", | |
| "configs": [ | |
| "sample-10BT" | |
| ], | |
| "license": "odc-by", | |
| "url": "https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu" | |
| } | |
| ] | |
| } | |
| } |