Datasets:

cmpatino
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crossdomain-env

task_id stringclasses 8 values	generator stringclasses 46 values	seed int64 0 4	prompt stringlengths 55 2.04k	answer stringlengths 1 56	answer_kind stringclasses 5 values
software_engineering	se_topo_order	0	A build tool installs packages one at a time. A package may only be installed after all of its dependencies. Whenever several packages are ready, it installs the alphabetically first one. - cache: depends on http - config: depends on cache, log - db: depends on http - http: depends on (nothing) - log: depends on (nothi...	http, cache, db, log, config, metrics, orm, storage, web	list
software_engineering	se_topo_order	1	A build tool installs packages one at a time. A package may only be installed after all of its dependencies. Whenever several packages are ready, it installs the alphabetically first one. - cli: depends on schema - core: depends on (nothing) - metrics: depends on core, schema - orm: depends on schema - schema: depends ...	core, schema, cli, metrics, orm, storage, utils	list
software_engineering	se_topo_order	2	A build tool installs packages one at a time. A package may only be installed after all of its dependencies. Whenever several packages are ready, it installs the alphabetically first one. - cli: depends on (nothing) - config: depends on (nothing) - router: depends on (nothing) - storage: depends on cli - web: depends o...	cli, config, router, storage, web, worker	list
software_engineering	se_topo_order	3	A build tool installs packages one at a time. A package may only be installed after all of its dependencies. Whenever several packages are ready, it installs the alphabetically first one. - config: depends on metrics, router - db: depends on utils - metrics: depends on (nothing) - parser: depends on metrics, utils - qu...	metrics, router, config, utils, db, parser, queue	list
software_engineering	se_topo_order	4	A build tool installs packages one at a time. A package may only be installed after all of its dependencies. Whenever several packages are ready, it installs the alphabetically first one. - cache: depends on (nothing) - cli: depends on core, schema, web - core: depends on (nothing) - metrics: depends on cache, core - p...	cache, core, metrics, schema, web, cli, parser	list
software_engineering	se_semver	0	A registry has these versions of a library: 2.2.9, 3.2.7, 2.0.4, 2.3.8, 3.5.12, 1.4.12, 3.5.3, 3.1.4, 1.2.1, 2.3.12, 1.2.6. Using npm semantic-versioning rules, which is the highest version that satisfies the constraint `>=1.2.1 <1.3.0`? Answer with the version string only.	1.2.6	text
software_engineering	se_semver	1	A registry has these versions of a library: 1.3.10, 1.0.10, 2.4.12, 1.3.0, 2.5.6, 3.3.4, 3.0.5, 2.0.7, 3.6.12. Using npm semantic-versioning rules, which is the highest version that satisfies the constraint `>=3.0.5 <3.1.0`? Answer with the version string only.	3.0.5	text
software_engineering	se_semver	2	A registry has these versions of a library: 2.4.3, 3.6.10, 2.2.6, 2.5.6, 2.4.7, 1.4.10, 3.1.8, 2.0.0, 1.0.5. Using npm semantic-versioning rules, which is the highest version that satisfies the constraint `^2.2.6`? Answer with the version string only.	2.5.6	text
software_engineering	se_semver	3	A registry has these versions of a library: 3.3.8, 1.5.2, 3.4.2, 2.4.3, 2.3.10, 1.4.0, 3.3.10, 2.5.0. Using npm semantic-versioning rules, which is the highest version that satisfies the constraint `>=2.3.10 <2.4.0`? Answer with the version string only.	2.3.10	text
software_engineering	se_semver	4	A registry has these versions of a library: 3.6.4, 1.1.8, 2.0.11, 2.1.1, 1.6.9, 1.1.4, 3.6.11, 2.2.12, 1.3.8, 1.2.3. Using npm semantic-versioning rules, which is the highest version that satisfies the constraint `>=2.1.1 <2.2.0`? Answer with the version string only.	2.1.1	text
software_engineering	se_rle	0	The string below is run-length encoded: each group is a decimal count followed by one character. Decode it and report how many characters the decoded string has, and how many of them are 'A'. Answer as two integers separated by a comma (total, count). Encoded: 5A7b8a9B3a10A	42, 15	list
software_engineering	se_rle	1	The string below is run-length encoded: each group is a decimal count followed by one character. Decode it and report how many characters the decoded string has, and how many of them are 'a'. Answer as two integers separated by a comma (total, count). Encoded: 5a8b7c2a1b	23, 7	list
software_engineering	se_rle	2	The string below is run-length encoded: each group is a decimal count followed by one character. Decode it and report how many characters the decoded string has, and how many of them are 'a'. Answer as two integers separated by a comma (total, count). Encoded: 6a5b10a	21, 16	list
software_engineering	se_rle	3	Run-length encode the string below: replace each maximal run of a repeated character with its length followed by the character (length is always written, even when 1). Characters are case-sensitive. String: cccbbbbbbbbbbccccccccccaaaaaaaaaabbbbbccccaaaaaaaaaaaa Answer with the encoded string only.	3c10b10c10a5b4c12a	text_cs
software_engineering	se_rle	4	The string below is run-length encoded: each group is a decimal count followed by one character. Decode it and report how many characters the decoded string has, and how many of them are 'a'. Answer as two integers separated by a comma (total, count). Encoded: 12a8b2a9b	31, 14	list
software_engineering	se_json_query	0	Here is an API response: {"orders":[{"id":1000,"status":"pending","items":[{"sku":"SKU-141","qty":3,"price":77.31},{"sku":"SKU-597","qty":4,"price":73.62},{"sku":"SKU-949","qty":3,"price":77.49},{"sku":"SKU-466","qty":5,"price":71.55}]},{"id":1001,"status":"pending","items":[{"sku":"SKU-388","qty":2,"price":60.95},{"sk...	2089.47	num
software_engineering	se_json_query	1	Here is an API response: {"orders":[{"id":1000,"status":"delivered","items":[{"sku":"SKU-361","qty":1,"price":40.64}]},{"id":1001,"status":"cancelled","items":[{"sku":"SKU-767","qty":4,"price":63.52},{"sku":"SKU-196","qty":4,"price":4.21},{"sku":"SKU-955","qty":4,"price":35.76},{"sku":"SKU-880","qty":1,"price":56.27}]}...	557.30	num
software_engineering	se_json_query	2	Here is an API response: {"orders":[{"id":1000,"status":"cancelled","items":[{"sku":"SKU-186","qty":3,"price":67.17}]},{"id":1001,"status":"cancelled","items":[{"sku":"SKU-720","qty":2,"price":49.33},{"sku":"SKU-695","qty":2,"price":79.98},{"sku":"SKU-753","qty":4,"price":64.69}]},{"id":1002,"status":"pending","items":...	663.48	num
software_engineering	se_json_query	3	Here is an API response: {"orders":[{"id":1000,"status":"delivered","items":[{"sku":"SKU-478","qty":5,"price":38.98},{"sku":"SKU-694","qty":1,"price":49.24}]},{"id":1001,"status":"pending","items":[{"sku":"SKU-664","qty":2,"price":16.96},{"sku":"SKU-834","qty":4,"price":44.2},{"sku":"SKU-662","qty":4,"price":32.98}]},{...	1804.79	num
software_engineering	se_json_query	4	Here is an API response: {"orders":[{"id":1000,"status":"shipped","items":[{"sku":"SKU-205","qty":4,"price":39.35},{"sku":"SKU-192","qty":1,"price":3.55},{"sku":"SKU-662","qty":3,"price":64.44}]},{"id":1001,"status":"cancelled","items":[{"sku":"SKU-632","qty":5,"price":30.1},{"sku":"SKU-898","qty":2,"price":66.5}]},{"i...	766.40	num
software_engineering	se_regex_count	0	How many of the following strings fully match the Python regular expression `^\d{4}-\d{2}-\d{2}$` (using re.search)? UserId KeyError TypeErrors _private 20240105 Error IOError v1.2 1999-12-31 v10.0.12 a_b v1.2.3 Answer with an integer.	1	int
software_engineering	se_regex_count	1	How many of the following strings fully match the Python regular expression `^v\d+\.\d+\.\d+$` (using re.search)? v1.2.3 KeyError v10.0.12 _private max__len IOError 20240105 TypeErrors 1999-12-31 UserId valueError user_id ValueError Answer with an integer.	2	int
software_engineering	se_regex_count	2	How many of the following strings fully match the Python regular expression `^[a-z]+_[a-z]+$` (using re.search)? v1.2.3 2024-1-05 v1.2 Error KeyError ValueError UserId IOError 2024-01-05 Answer with an integer.	0	int
software_engineering	se_regex_count	3	How many of the following strings fully match the Python regular expression `^v\d+\.\d+\.\d+$` (using re.search)? v0.0.0 1.2.3 2024-1-05 _private v1.2.3 user_id IOError a_b KeyError v10.0.12 20240105 valueError max_len Answer with an integer.	3	int
software_engineering	se_regex_count	4	How many of the following strings fully match the Python regular expression `^v\d+\.\d+\.\d+$` (using re.search)? v10.0.12 20240105 _private 1.2.3 v1.2.3 v0.0.0 user_id ValueError KeyError IOError 1999-12-31 Answer with an integer.	3	int
industrial_systems	ind_oee	0	A machine has 450 min of planned production time in a shift and 73 min of unplanned downtime. Ideal cycle time is 0.5 min/unit. It produced 580 units, of which 32 were defective. Compute OEE (availability x performance x quality) as a percentage rounded to 1 decimal.	60.9	num
industrial_systems	ind_oee	1	A machine has 420 min of planned production time in a shift and 28 min of unplanned downtime. Ideal cycle time is 1.0 min/unit. It produced 286 units, of which 24 were defective. Compute OEE (availability x performance x quality) as a percentage rounded to 1 decimal.	62.4	num
industrial_systems	ind_oee	2	A machine has 420 min of planned production time in a shift and 31 min of unplanned downtime. Ideal cycle time is 0.5 min/unit. It produced 620 units, of which 10 were defective. Compute OEE (availability x performance x quality) as a percentage rounded to 1 decimal.	72.6	num
industrial_systems	ind_oee	3	A machine has 420 min of planned production time in a shift and 89 min of unplanned downtime. Ideal cycle time is 0.75 min/unit. It produced 353 units, of which 30 were defective. Compute OEE (availability x performance x quality) as a percentage rounded to 1 decimal.	57.7	num
industrial_systems	ind_oee	4	A machine has 420 min of planned production time in a shift and 58 min of unplanned downtime. Ideal cycle time is 0.5 min/unit. It produced 647 units, of which 61 were defective. Compute OEE (availability x performance x quality) as a percentage rounded to 1 decimal.	69.8	num
industrial_systems	ind_tank	0	A 12000 L tank is 53% full. Water enters at 147 L/min and is drawn off at 20 L/min at the same time. How many minutes until the tank is full? Round to 2 decimals.	44.41	num
industrial_systems	ind_tank	1	A 5000 L tank is 41% full. Water enters at 56 L/min and is drawn off at 26 L/min at the same time. How many minutes until the tank is full? Round to 2 decimals.	98.33	num
industrial_systems	ind_tank	2	A 2000 L tank is 10% full. Water enters at 61 L/min and is drawn off at 33 L/min at the same time. How many minutes until the tank is full? Round to 2 decimals.	64.29	num
industrial_systems	ind_tank	3	A 5000 L tank is 42% full. Water enters at 179 L/min and is drawn off at 43 L/min at the same time. How many minutes until the tank is full? Round to 2 decimals.	21.32	num
industrial_systems	ind_tank	4	A 5000 L tank is 24% full. Water enters at 66 L/min and is drawn off at 56 L/min at the same time. How many minutes until the tank is full? Round to 2 decimals.	380.00	num
industrial_systems	ind_circuit	0	A 24 V ideal source drives R1 = 220 ohm in series with the parallel pair R2 = 10 ohm and R3 = 100 ohm. What current flows through R3, in milliamps? Round to 2 decimals.	9.52	num
industrial_systems	ind_circuit	1	A 9 V ideal source drives R1 = 22 ohm in series with the parallel pair R2 = 100 ohm and R3 = 22 ohm. What current flows through R3, in milliamps? Round to 2 decimals.	184.28	num
industrial_systems	ind_circuit	2	A 5 V ideal source drives R1 = 22 ohm in series with the parallel pair R2 = 22 ohm and R3 = 150 ohm. What current flows through R3, in milliamps? Round to 2 decimals.	15.53	num
industrial_systems	ind_circuit	3	A 9 V ideal source drives R1 = 470 ohm in series with the parallel pair R2 = 47 ohm and R3 = 150 ohm. What current flows through R3, in milliamps? Round to 2 decimals.	4.25	num
industrial_systems	ind_circuit	4	A 9 V ideal source drives R1 = 100 ohm in series with the parallel pair R2 = 22 ohm and R3 = 220 ohm. What current flows through R3, in milliamps? Round to 2 decimals.	6.82	num
industrial_systems	ind_johnson	0	Each job must be processed on machine M1 and then on machine M2; each machine handles one job at a time and jobs pass through both machines in the same order. - job A: 7 h on M1, then 1 h on M2 - job B: 5 h on M1, then 9 h on M2 - job C: 8 h on M1, then 7 h on M2 - job D: 5 h on M1, then 8 h on M2 - job E: 6 h on M1, t...	40	int
industrial_systems	ind_johnson	1	Each job must be processed on machine M1 and then on machine M2; each machine handles one job at a time and jobs pass through both machines in the same order. - job A: 10 h on M1, then 2 h on M2 - job B: 5 h on M1, then 2 h on M2 - job C: 8 h on M1, then 8 h on M2 - job D: 8 h on M1, then 11 h on M2 What is the minimum...	33	int
industrial_systems	ind_johnson	2	Each job must be processed on machine M1 and then on machine M2; each machine handles one job at a time and jobs pass through both machines in the same order. - job A: 2 h on M1, then 2 h on M2 - job B: 6 h on M1, then 3 h on M2 - job C: 12 h on M1, then 11 h on M2 - job D: 5 h on M1, then 5 h on M2 What is the minimum...	33	int
industrial_systems	ind_johnson	3	Each job must be processed on machine M1 and then on machine M2; each machine handles one job at a time and jobs pass through both machines in the same order. - job A: 10 h on M1, then 9 h on M2 - job B: 3 h on M1, then 6 h on M2 - job C: 10 h on M1, then 8 h on M2 - job D: 11 h on M1, then 10 h on M2 What is the minim...	42	int
industrial_systems	ind_johnson	4	Each job must be processed on machine M1 and then on machine M2; each machine handles one job at a time and jobs pass through both machines in the same order. - job A: 5 h on M1, then 2 h on M2 - job B: 12 h on M1, then 7 h on M2 - job C: 8 h on M1, then 3 h on M2 - job D: 2 h on M1, then 2 h on M2 What is the minimum ...	29	int
industrial_systems	ind_eoq	0	Annual demand is 9600 units, each order costs $120 to place, and holding one unit for a year costs $0.8. What is the economic order quantity? Round to the nearest whole unit.	1697	num
industrial_systems	ind_eoq	1	Annual demand is 2400 units, each order costs $25 to place, and holding one unit for a year costs $2.0. What is the economic order quantity? Round to the nearest whole unit.	245	num
industrial_systems	ind_eoq	2	Annual demand is 1200 units, each order costs $25 to place, and holding one unit for a year costs $0.8. What is the economic order quantity? Round to the nearest whole unit.	274	num
industrial_systems	ind_eoq	3	Annual demand is 2400 units, each order costs $40 to place, and holding one unit for a year costs $2.0. What is the economic order quantity? Round to the nearest whole unit.	310	num
industrial_systems	ind_eoq	4	Annual demand is 2400 units, each order costs $75 to place, and holding one unit for a year costs $0.8. What is the economic order quantity? Round to the nearest whole unit.	671	num
industrial_systems	ind_bottleneck	0	A serial production line has these stations (every unit visits each station once): - S1: cycle time 75 s per unit, 1 identical machine(s) in parallel - S2: cycle time 60 s per unit, 3 identical machine(s) in parallel - S3: cycle time 75 s per unit, 2 identical machine(s) in parallel - S4: cycle time 60 s per unit, 2 id...	48.0	num
industrial_systems	ind_bottleneck	1	A serial production line has these stations (every unit visits each station once): - S1: cycle time 90 s per unit, 1 identical machine(s) in parallel - S2: cycle time 60 s per unit, 1 identical machine(s) in parallel - S3: cycle time 75 s per unit, 2 identical machine(s) in parallel What is the maximum steady-state thr...	40.0	num
industrial_systems	ind_bottleneck	2	A serial production line has these stations (every unit visits each station once): - S1: cycle time 30 s per unit, 1 identical machine(s) in parallel - S2: cycle time 60 s per unit, 1 identical machine(s) in parallel - S3: cycle time 120 s per unit, 3 identical machine(s) in parallel What is the maximum steady-state th...	60.0	num
industrial_systems	ind_bottleneck	3	A serial production line has these stations (every unit visits each station once): - S1: cycle time 90 s per unit, 3 identical machine(s) in parallel - S2: cycle time 45 s per unit, 2 identical machine(s) in parallel - S3: cycle time 90 s per unit, 2 identical machine(s) in parallel What is the maximum steady-state thr...	80.0	num
industrial_systems	ind_bottleneck	4	A serial production line has these stations (every unit visits each station once): - S1: cycle time 60 s per unit, 1 identical machine(s) in parallel - S2: cycle time 120 s per unit, 2 identical machine(s) in parallel - S3: cycle time 75 s per unit, 1 identical machine(s) in parallel What is the maximum steady-state th...	48.0	num
natural_science	sci_halflife	0	Tc-99m has a half-life of 6.01 hours. A sample starts with 80 mg. How many mg remain after 2.8 hours? Round to 3 significant figures.	57.9219	num
natural_science	sci_halflife	1	Co-60 has a half-life of 5.27 years. A sample starts with 200 mg. How many mg remain after 20.3 years? Round to 3 significant figures.	13.8505	num
natural_science	sci_halflife	2	I-131 has a half-life of 8.02 days. A sample starts with 10 mg. How many mg remain after 5.3 days? Round to 3 significant figures.	6.32506	num
natural_science	sci_halflife	3	Co-60 has a half-life of 5.27 years. A sample starts with 200 mg. How many mg remain after 13.6 years? Round to 3 significant figures.	33.4332	num
natural_science	sci_halflife	4	Co-60 has a half-life of 5.27 years. A sample starts with 50 mg. How many mg remain after 3.9 years? Round to 3 significant figures.	29.9362	num
natural_science	sci_projectile	0	A projectile is launched from level ground at 34 m/s, 60 degrees above horizontal. Ignore air resistance and use g = 9.81 m/s^2. What is its horizontal range in metres? Round to 2 decimals.	102.05	num
natural_science	sci_projectile	1	A projectile is launched from level ground at 18 m/s, 20 degrees above horizontal. Ignore air resistance and use g = 9.81 m/s^2. What is its horizontal range in metres? Round to 2 decimals.	21.23	num
natural_science	sci_projectile	2	A projectile is launched from level ground at 13 m/s, 20 degrees above horizontal. Ignore air resistance and use g = 9.81 m/s^2. What is its horizontal range in metres? Round to 2 decimals.	11.07	num
natural_science	sci_projectile	3	A projectile is launched from level ground at 25 m/s, 30 degrees above horizontal. Ignore air resistance and use g = 9.81 m/s^2. What is its horizontal range in metres? Round to 2 decimals.	55.17	num
natural_science	sci_projectile	4	A projectile is launched from level ground at 25 m/s, 45 degrees above horizontal. Ignore air resistance and use g = 9.81 m/s^2. What is its horizontal range in metres? Round to 2 decimals.	63.71	num
natural_science	sci_gas	0	4.25 mol of an ideal gas occupies 3.9 L at 87 degrees C. Using R = 8.314 J/(mol K) and T(K) = T(C) + 273.15, what is its pressure in kPa? Round to 1 decimal.	3263.0	num
natural_science	sci_gas	1	0.84 mol of an ideal gas occupies 14.2 L at -4 degrees C. Using R = 8.314 J/(mol K) and T(K) = T(C) + 273.15, what is its pressure in kPa? Round to 1 decimal.	132.4	num
natural_science	sci_gas	2	4.79 mol of an ideal gas occupies 6.4 L at -6 degrees C. Using R = 8.314 J/(mol K) and T(K) = T(C) + 273.15, what is its pressure in kPa? Round to 1 decimal.	1662.3	num
natural_science	sci_gas	3	1.34 mol of an ideal gas occupies 8.3 L at 119 degrees C. Using R = 8.314 J/(mol K) and T(K) = T(C) + 273.15, what is its pressure in kPa? Round to 1 decimal.	526.4	num
natural_science	sci_gas	4	1.33 mol of an ideal gas occupies 36.6 L at 6 degrees C. Using R = 8.314 J/(mol K) and T(K) = T(C) + 273.15, what is its pressure in kPa? Round to 1 decimal.	84.3	num
natural_science	sci_stoich	0	Reaction: 2 Al + 3 Cl2 -> 2 AlCl3. Molar masses (g/mol): Al 26.982, Cl2 70.906, AlCl3 133.341. You react 92.2 g of Al with 53.4 g of Cl2. What is the theoretical yield of AlCl3 in grams? Round to 2 decimals.	66.95	num
natural_science	sci_stoich	1	Reaction: N2 + 3 H2 -> 2 NH3. Molar masses (g/mol): N2 28.014, H2 2.016, NH3 17.031. You react 70.5 g of N2 with 97.3 g of H2. What is the theoretical yield of NH3 in grams? Round to 2 decimals.	85.72	num
natural_science	sci_stoich	2	Reaction: 2 H2 + O2 -> 2 H2O. Molar masses (g/mol): H2 2.016, O2 31.998, H2O 18.015. You react 15.5 g of H2 with 46.5 g of O2. What is the theoretical yield of H2O in grams? Round to 2 decimals.	52.36	num
natural_science	sci_stoich	3	Reaction: N2 + 3 H2 -> 2 NH3. Molar masses (g/mol): N2 28.014, H2 2.016, NH3 17.031. You react 73.2 g of N2 with 20.0 g of H2. What is the theoretical yield of NH3 in grams? Round to 2 decimals.	89.00	num
natural_science	sci_stoich	4	Reaction: N2 + 3 H2 -> 2 NH3. Molar masses (g/mol): N2 28.014, H2 2.016, NH3 17.031. You react 39.9 g of N2 with 87.9 g of H2. What is the theoretical yield of NH3 in grams? Round to 2 decimals.	48.51	num
natural_science	sci_genetics	0	Genes A, B, C assort independently with complete dominance (uppercase allele dominant). Cross AaBBCc x aaBbCc. What is the probability that an offspring shows the phenotype: recessive for trait A, recessive for trait B, recessive for trait C? Answer as a reduced fraction like 3/16 (or 0).	0.0	num
natural_science	sci_genetics	1	Genes A, B assort independently with complete dominance (uppercase allele dominant). Cross aaBB x AaBB. What is the probability that an offspring shows the phenotype: recessive for trait A, recessive for trait B? Answer as a reduced fraction like 3/16 (or 0).	0.0	num
natural_science	sci_genetics	2	Genes A, B assort independently with complete dominance (uppercase allele dominant). Cross AABB x AaBB. What is the probability that an offspring shows the phenotype: recessive for trait A, recessive for trait B? Answer as a reduced fraction like 3/16 (or 0).	0.0	num
natural_science	sci_genetics	3	Genes A, B assort independently with complete dominance (uppercase allele dominant). Cross aabb x AABb. What is the probability that an offspring shows the phenotype: recessive for trait A, dominant for trait B? Answer as a reduced fraction like 3/16 (or 0).	0.0	num
natural_science	sci_genetics	4	Genes A, B assort independently with complete dominance (uppercase allele dominant). Cross AaBB x aaBb. What is the probability that an offspring shows the phenotype: recessive for trait A, dominant for trait B? Answer as a reduced fraction like 3/16 (or 0).	0.5	num
natural_science	sci_dilution	0	How many mL of a 6.0 M stock solution are needed to make 1000 mL of a 2.758 M solution? Round to 2 decimals.	459.67	num
natural_science	sci_dilution	1	How many mL of a 2.0 M stock solution are needed to make 100 mL of a 0.7 M solution? Round to 2 decimals.	35.00	num
natural_science	sci_dilution	2	How many mL of a 1.0 M stock solution are needed to make 500 mL of a 0.073 M solution? Round to 2 decimals.	36.50	num
natural_science	sci_dilution	3	How many mL of a 2.0 M stock solution are needed to make 250 mL of a 0.727 M solution? Round to 2 decimals.	90.88	num
natural_science	sci_dilution	4	How many mL of a 2.0 M stock solution are needed to make 1000 mL of a 0.392 M solution? Round to 2 decimals.	196.00	num
office_work	off_business_days	0	Count the business days from 2026-01-30 to 2026-04-03, both inclusive. Business days are Monday-Friday, excluding these company holidays: 2026-03-04. Answer with an integer.	45	int
office_work	off_business_days	1	Count the business days from 2025-05-18 to 2025-06-05, both inclusive. Business days are Monday-Friday, excluding these company holidays: 2025-05-21, 2025-06-02. Answer with an integer.	12	int
office_work	off_business_days	2	Count the business days from 2025-02-27 to 2025-03-20, both inclusive. Business days are Monday-Friday, excluding these company holidays: 2025-03-10. Answer with an integer.	15	int
office_work	off_business_days	3	Count the business days from 2025-09-01 to 2025-09-27, both inclusive. Business days are Monday-Friday, excluding these company holidays: 2025-09-16, 2025-09-20. Answer with an integer.	19	int
office_work	off_business_days	4	Count the business days from 2025-08-30 to 2025-10-17, both inclusive. Business days are Monday-Friday, excluding these company holidays: 2025-10-15. Answer with an integer.	34	int
office_work	off_meeting	0	Working hours are 09:00-17:00. Busy times (start inclusive, end exclusive): - Ana: 15:15-16:00, 15:15-16:45 - Ben: 09:30-10:30, 16:00-17:00 - Eli: 11:15-12:15, 14:30-15:00 Meetings may only start on a quarter hour. What is the earliest start time for a 60-minute meeting with all three people? Answer as HH:MM.	12:15	text
office_work	off_meeting	1	Working hours are 09:00-17:00. Busy times (start inclusive, end exclusive): - Ben: 09:45-11:15, 12:45-14:15, 15:00-16:30 - Eli: 09:00-10:30, 09:45-11:15 - Ana: 11:00-11:45, 13:45-14:15, 14:30-16:00 Meetings may only start on a quarter hour. What is the earliest start time for a 60-minute meeting with all three people? ...	11:45	text
office_work	off_meeting	2	Working hours are 09:00-17:00. Busy times (start inclusive, end exclusive): - Ana: 11:00-11:45, 14:45-15:45, 15:30-16:15 - Fatima: 09:15-10:00, 12:15-13:45, 13:15-14:45, 15:15-16:15 - Eli: 11:00-11:30, 11:45-13:15, 15:45-16:15, 16:15-17:00 Meetings may only start on a quarter hour. What is the earliest start time for a...	10:00	text
office_work	off_meeting	3	Working hours are 09:00-17:00. Busy times (start inclusive, end exclusive): - Ana: 09:15-10:15, 12:45-14:15, 15:00-15:30, 15:30-16:30 - Fatima: 12:00-13:30, 15:15-16:45, 16:00-17:00, 16:15-17:00 - Ben: 09:15-10:00, 12:45-13:30 Meetings may only start on a quarter hour. What is the earliest start time for a 45-minute me...	10:15	text
office_work	off_meeting	4	Working hours are 09:00-17:00. Busy times (start inclusive, end exclusive): - Ben: 09:30-10:00, 10:00-10:30, 12:00-13:00, 12:00-13:30 - Chen: 10:45-11:45, 11:00-11:45 - Ana: 11:00-11:45, 16:15-16:45 Meetings may only start on a quarter hour. What is the earliest start time for a 60-minute meeting with all three people?...	13:30	text
office_work	off_pivot	0	region,month,rep,units,unit_price West,Feb,Kim,17,144.99 West,Feb,Ola,31,56.92 South,Mar,Lee,19,25.26 North,Mar,Ola,35,147.5 South,Feb,Kim,5,135.33 East,Feb,Kim,23,67.95 South,Mar,Raj,29,130.47 East,Jan,Kim,6,109.36 West,Mar,Kim,40,76.57 East,Jan,Ola,5,32.7 South,Jan,Lee,35,69.96 North,Feb,Raj,7,48.71 East,Mar,Kim,36,5...	4830.89	num
office_work	off_pivot	1	region,month,rep,units,unit_price North,Feb,Kim,32,115.34 West,Mar,Raj,14,18.61 North,Feb,Raj,39,115.53 North,Mar,Raj,18,109.62 South,Mar,Kim,21,9.44 North,Mar,Kim,25,104.54 West,Mar,Kim,34,37.15 West,Feb,Lee,23,38.48 South,Feb,Ola,2,65.35 North,Jan,Ola,8,112.76 West,Mar,Lee,20,46.2 From this CSV, what is the total rev...	8196.55	num
office_work	off_pivot	2	region,month,rep,units,unit_price North,Jan,Kim,24,126.15 East,Feb,Lee,39,10.18 South,Feb,Raj,33,142.66 West,Mar,Ola,3,131.3 East,Feb,Ola,25,66.42 South,Mar,Lee,16,38.44 South,Feb,Lee,9,78.97 East,Mar,Lee,29,120.53 East,Mar,Ola,24,147.24 West,Jan,Raj,30,99.96 South,Feb,Ola,32,77.62 East,Mar,Raj,30,55.86 West,Feb,Lee,21...	3027.60	num
office_work	off_pivot	3	region,month,rep,units,unit_price South,Feb,Raj,38,14.5 North,Feb,Ola,36,38.98 West,Mar,Raj,26,97.66 South,Jan,Lee,34,61.54 North,Mar,Kim,11,114.94 North,Feb,Kim,18,73.55 West,Mar,Raj,26,110.58 West,Jan,Ola,7,10.2 West,Jan,Ola,28,117.95 East,Feb,Raj,37,55.88 West,Mar,Lee,22,103.89 From this CSV, what is the total reven...	551.00	num
office_work	off_pivot	4	region,month,rep,units,unit_price East,Jan,Raj,31,27.47 North,Jan,Raj,36,138.1 North,Jan,Ola,18,118.06 North,Feb,Lee,2,125.19 East,Feb,Lee,11,49.93 East,Jan,Ola,25,78.36 South,Jan,Raj,18,17.96 East,Jan,Ola,37,107.21 East,Mar,Lee,27,66.44 East,Feb,Raj,11,38.82 East,Jan,Kim,3,72.09 From this CSV, what is the total revenu...	6993.61	num

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CrossDomain Reasoning: an OpenEnv environment

CrossDomain trains a model to solve short, exactly checkable problems from eight professional domains, using Python as a scratchpad and committing to one final answer. Every episode is a fresh problem generated from a random seed, so the supply is effectively unlimited and nothing can be memorised.

Container image: docker.io/cmpatino02/crossdomain-env:v1 (linux/amd64) OpenEnv revision: 86a180ede21e044f7929b9a7783ad83aa67d83a3

What it teaches

Reading a realistic spec and computing an exact result: loan payments, subnet ranges, timecodes, stoichiometry, install orders, business-day counts.
Using a tool when it helps: arithmetic, brute force and hashing are much more reliable in Python than in the head.
Answer discipline: following the requested format and submitting once.

Tasks

task_id	problem types
`software_engineering`	dependency install order, npm semver resolution, run-length encoding, JSON aggregation, regex matching
`industrial_systems`	OEE, tank fill time, resistor networks, two-machine flow-shop makespan, EOQ, line bottleneck throughput
`natural_science`	radioactive decay, projectile motion, ideal gas, limiting-reagent yield, Mendelian crosses, dilution
`office_work`	business days with holidays, meeting scheduling, CSV pivots, expense policy, contact de-duplication
`finance_economics`	amortised loans, NPV, future value of savings, bond pricing, market equilibrium with tax, break-even
`math_reasoning`	modular exponentiation, lattice paths with obstacles, inclusion-exclusion, #SAT, linear systems, factorial valuations
`cybersecurity`	CIDR math, sshd log triage, XOR/base64/ROT13 decoding, first-match firewall rules, password policy, hash prefixes
`media_production`	timecode sums, bitrate file size, aspect-ratio scaling, subtitle shifting, headline style, word statistics
`mixed`	a random domain each episode

Pass task_id (and optionally seed) to reset.

Interaction

Action: {"tool": "python" | "submit", "input": "<code or final answer>"}.

python runs the code as a fresh Python 3.12 script (stdlib, numpy, sympy) as an unprivileged user, 10 s CPU limit, and returns stdout/stderr (truncated to 1,200 characters). At most 6 calls per episode.
submit ends the episode and grades the answer.

Observation: task (problem statement, on reset), output (tool output or grading feedback), steps_left, done, reward.

Reward

Binary and exact: 1.0 if the submitted answer matches the reference answer computed by the generator, else 0.0. Numbers are parsed leniently ($1,234.50, 3/16, 41.14 dollars) and compared with a per-problem tolerance matching the requested rounding; strings are compared after trimming whitespace, quotes and a trailing period (case-insensitive unless case matters, e.g. decoded flags or headline capitalisation); lists compare element by element in order. A 7th python call without a submission ends the episode with 0.0.

Files

tasks.jsonl: the task ids with descriptions.
samples.jsonl: example problems with reference answers (seeded, for inspection only).
env/: the full environment source (OpenEnv server, generators, Dockerfile).

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